Available for new opportunities

MelisaSever

AI Engineer & Backend Engineer architecting high-performance AI ecosystems and backend infrastructures that turn complex models into seamless, production-ready experiences.

3+
Years Experience
30+
Projects Built
60%
Latency Reduced

Who I am

Hi, I'm Melisa. I'm an AI & Backend Engineer with 3 years of experience building scalable ML systems and APIs on Google Cloud. I specialize in bridging the gap between experimental AI and production reality.

Whether I'm architecting LLM-powered platforms or optimizing inference pipelines to slash latency by 60%, my focus is on turning deep learning and NLP concepts into high-performing, reliable applications. I love tackling architectural bottlenecks and building intelligent systems that deliver immediate, real-world value.

🧠
LLM & AI Systems
LangChain, Vertex AI, Gemini, RAG pipelines, multi-agent architectures
⚡
Backend Engineering
FastAPI, Python, Google Cloud, CI/CD, 99% uptime systems
🛰️
Unique Interests
Space AI, satellite imaging, cybersecurity, autonomous systems

Where I've worked

Jun 2026 — Aug 2026
AI Engineering Participant (Project-Based)
Microsoft — Istanbul, Türkiye
  • Built a 100% offline RAG application using Python, SQLite Vector Store, Phi-3.5 Mini, and the Foundry Local SDK for secure document Q&A across 5 enterprise domains.
  • Optimized inference for a 3.5B-parameter SLM, reducing average response latency to ~35 seconds.
  • Validated the solution across 7 evaluation scenarios and presented the architecture to Microsoft leadership.
Dec 2024 — Jan 2026
AI Engineer
Global AI — San Francisco, CA
  • Built and deployed a production LLM syllabus generation platform using LangChain, Gemini, and Vertex AI integrated into real educator workflows.
  • Reduced inference latency 60% and improved output coherence 50% through prompt architecture redesign and optimized inference pipelines.
  • Designed automated theme detection and parallel image-prompt generation systems, accelerating AI content production.
Dec 2022 — Nov 2024
Backend Engineer
TSG Ventures — San Francisco, CA
  • Developed an AI-powered assessment platform serving with personalized content generation using Python, FastAPI, and Vertex AI.
  • Architected scalable REST APIs enabling real-time AI workflows and dynamic content delivery.
  • Built automated CI/CD evaluation pipelines on Google Cloud, achieving 99% system uptime.
Jun 2022 — Nov 2022
Frontend Developer
Pixagor — Istanbul, Türkiye
  • Engineered healthcare appointment platform increasing online bookings 50%.
  • Improved application performance and async API handling, raising user satisfaction 60%.
  • Delivered production features within Agile development cycles under tight deadlines.

Academic background

🎓
Bachelor of Science in Computer Science
San Francisco State University, San Francisco, CA

Things I've built

AI / LLM ↗
Multi-Agent DevOps SRE Crew
A collaborative AI crew that ingests a GitHub issue, analyzes root cause, suggests and reviews code fixes, then autonomously drafts a pull request with human fallback at every critical step.
PythonCrewAIGroqStreamlitMulti-Agent
AI / LLM ↗
GitHub Issue Automation Agent
An AI-powered agent that automatically fetches, analyzes, classifies, and responds to GitHub issues using LangGraph, Groq (LLaMA 3.3 70B), and PyGitHub.
PythonLangGraphGroq
AI / LLM ↗
LangGraph Interactive Fiction Engine
A powerful, stateful interactive fiction engine built with LangGraph and Llama 3.1 via Groq. Generates dynamic, branching narratives that adapt to user choices while maintaining deep story consistency.
PythonLangGraphFlaskLangChain
AI / LLM ↗
Autonomous Deep Research Agent
A sophisticated multi-agent AI system that conducts comprehensive research on any topic using autonomous agents, self-reflection, and human-in-the-loop oversight.
PythonMulti-AgentStreamlit
AI / LLM ↗
Customer Support Ticketing System
A multi-agent system built with LangGraph that automatically classifies, routes, and resolves customer support tickets using specialized AI agents.
PythonLangGraphMulti-Agent
AI / LLM ↗
Multi-Destination Travel Itinerary Planner
An advanced AI travel planning system with coordinated specialized agents that generate comprehensive, conflict-free itineraries for multi-destination trips.
PythonLangChainMulti-Agent
AI / LLM ↗
Code Review & Bug-Fixing Swarm
A multi-agent AI system for automated code analysis, security auditing, and quality improvement across 8 programming languages.
PythonMulti-Agent8 Languages
AI / LLM ↗
AI Shopping Research Agent
A free AI-powered shopping assistant that helps you find the best products using Groq's free API for lightning-fast AI responses — no credit card required.
PythonStreamlitGroq APILangChain
AI / LLM ↗
LiveRAG Assistant
A production-grade Live RAG system that continuously ingests fresh AI/ML and tech news, embeds it into a persistent vector store, and answers questions with up-to-date knowledge with clear source citations and "Knowledge as of [timestamp]" transparency.
PythonStreamlitGroq APILangChainChromaDB
AI / LLM ↗
Multi-Tier Supply Chain Dependency & Risk Engine
An ontology-backed Retrieval-Augmented Generation (RAG) system that models a multi-tier supply chain as a knowledge graph and answers questions relational databases struggle with, like "if this port shuts down, which final products in our catalog are affected, and what certified suppliers can we pivot to?
PythonNetworkXGroq APIStreamlit
Machine Learning ↗
Tech Salary Predictor
End-to-end ML project: data generation → cleaning → feature engineering → model training → Streamlit deployment. Inspired by Levels.fyi style compensation data.
PythonSklearnStreamlitMLOps
Machine Learning ↗
AI-Powered Resume Screener
A Python resume-matching system that parses resumes and job postings using semantic similarity. Applies multi-factor scoring via TF-IDF and configurable weighting, integrates SQLite for batch processing.
PythonNLPTF-IDFSQLite
Machine Learning ↗
AI-Powered Stock Prediction Dashboard
A lightweight stock market analysis and prediction tool with ML price predictions, sentiment analysis from news, and technical indicators — no paid API keys required.
PythonScikit-learnStreamlitFinance
Machine Learning ↗
Personalized Shopping Recommender
A hybrid recommendation system combining collaborative filtering and sentiment analysis to provide personalized product recommendations with an interactive web dashboard.
PythonScikit-learnNLTK
Machine Learning ↗
Carbon Footprint Tracker App
A comprehensive web application for tracking, analyzing, and reducing your carbon footprint using Machine Learning and AI-powered suggestions.
PythonStreamlitScikit-learn
Machine Learning ↗
F1 Predictions 2025
A machine learning project that uses historical Formula 1 race data and the FastF1 API to predict driver and team outcomes for the 2025 F1 season.
PythonFastF1 APIData Analysis
Machine Learning ↗
Corporate Compliance & UBO Network Graph
A tool for financial compliance analysts to investigate corporate ownership structures using plain English questions, instead of writing manual graph queries.
PythonNetworkXMatplotlibLangChainGroq
Security ↗
Secret & API Key Detector
A lightweight, zero-dependency Python tool that scans your codebase for hardcoded secrets, API keys, tokens, and passwords before they end up on GitHub.
PythonCybersecurityDevTools
Security ↗
Log Analyzer
Parses server log files and detects suspicious behavior — brute-force attacks, SQL injection, XSS, bot activity — with a CLI, email/Slack alerting, and browser dashboard.
PythonCybersecurityDashboard
Security ↗
Advanced Bot Detection System
A production-ready, AI-powered bot detection system with deep learning, SQLite persistence, CAPTCHA integration, and FastAPI.
PythonFastAPISQLite
Security ↗
LLM API Abuse Detection & Shield
A production-ready abuse detection system for LLM and ML APIs that detects prompt attacks, scraping, and data exfiltration attempts in real-time.
PythonFastAPIReal-time
Security ↗
ShadowVault — Zero-Trust API Honeypot
A Python honeypot that mimics banking APIs to deceive attackers. Detects 5+ attack types, profiles sessions, and generates automated IOCs every 5 minutes with real-time analytics.
PythonAI DeceptionSQLite
Security ↗
FraudGuard Pro — Real-Time Bank Fraud Detector
An intelligent fraud detection system that monitors transactions in real time, automatically flags suspicious activity, and sends instant SMS alerts — built with pure Python and SQLite.
PythonSQLiteReal-time
Security ↗
Web Application Vulnerability Scanner
Local demo scanner for finding reflected XSS and basic SQL injection issues in HTML forms. It ships with a purpose-built SQL demo site, a separate XSS demo site, a small Flask UI, and a structured PDF report.
PythonXSSSQLFlaskPDF
Security ↗
CAI-Cybersecurity AI Agent
A lightweight, open-source framework empowering security professionals to build and deploy AI-powered offensive and defensive security automation.
PythonLangChainGroq APIplotlyPandasStreamlit
Security ↗
NexusGuard SOC
A unified Security Operations Center dashboard that aggregates events from multiple security tools (Log Analyzer, Bot Detection, FraudGuard, LLM Abuse Shield, Secret Detector, Honeypot, Vulnerability Scanner, and more) into one command center for monitoring, alerting, and response.
PythonFastAPISQLAlchemyPydanticStreamlitPlotly
Security ↗
CTI Knowledge Graph Extractor
An ontology-grounded knowledge graph pipeline for cybersecurity threat intelligence. Raw threat reports, incident logs, or CVE advisories go in; a validated, typed graph of adversaries, tools, vulnerabilities, and infrastructure comes out.
PythonLLMLangChainNeo4jStreamlitGroq API
Security ↗
LogicProbe
LogicProbe is a lightweight, CLI-based Business Logic Vulnerability Scanner for REST APIs. It reads an OpenAPI 3.x / Swagger spec, uses Groq to intelligently pick which endpoints are worth attacking and to help craft/interpret payloads, then runs targeted black-box tests for four of the most common (and most dangerous) API business-logic flaws.
PythonGroqhttpxyamlpydanticStreamlit
Security ↗
API Phantom Lite-Shadow API Discovery & Risk Mapper
A lightweight, fully local security tool that compares what your API actually receives (from Nginx access logs) against what it claims to expose (from an OpenAPI/Swagger spec) surfacing shadow endpoints, dead documentation, and risky route patterns with a transparent, point-based risk score.
PythonFastAPIuvicornyamlsqlalchemyjinja2
Space ↗
Satellite Onboard AI Simulation
Simulates edge computing for Earth observation satellites, inspired by ESA's φ-sat-2 mission. Demonstrates how AI deployed onboard satellites autonomously filters image data to reduce bandwidth.
PythonSklearnStreamlit
Space ↗
Space Weather Forecasting & Anomaly Detection
AI-powered space weather monitoring system for protecting satellites and astronauts from solar radiation using ML anomaly detection.
PythonPandasStreamlit
Space ↗
Satellite Image Analysis Project
A complete AI toolkit for satellite image analysis — detects wildfires, monitors floods, and measures urban sprawl. Fast, production-ready system for Earth observation.
PythonRasterioMatplotlib
Space ↗
Asteroid Detection, Tracking & Risk Assessment System
An end-to-end pipeline for detecting moving asteroids in telescope survey data, estimating orbital paths, assessing impact risk, and visualizing results through an interactive Streamlit dashboard.
PythonNumpyPandasplotlyscipyPyTorch
Space ↗
Orbital Debris Tracking & Active Removal Simulator
A space situational awareness (SSA) and active debris removal (ADR) simulator. It generates a synthetic catalog of orbital debris across LEO/MEO/GEO, propagates orbits under realistic perturbations, screens for collision risk, and plans multi-target debris removal missions, all rendered into a single interactive HTML dashboard.
PythonNumpyScipyPlotlyAstropyMatplotlib
Space ↗
Autonomous Satellite Constellation Management & Collision Avoidance System
AI-driven mission control that autonomously tracks, predicts, and resolves satellite collision risks across thousands of orbiting assets in real time.
PythonStreamlitPlotlyNumpyPandasScipy
Space ↗
On-Orbit Satellite Health Prognostics & Remaining Useful Life (RUL) Estimator
An AI-driven predictive maintenance system for Earth-orbiting satellites. It ingests multi-sensor telemetry (battery voltage, temperature, reaction wheel torque/vibration, solar array current, thermal readings), estimates the Remaining Useful Life of each subsystem, and surfaces explainable health scores through an interactive dashboard.
PythonStreamlitNumPyPandasscikit-learnxgboost
Space ↗
Interplanetary Communication Latency & Bandwidth Optimizer
An interactive Streamlit application designed to simulate and optimize adaptive telemetry scheduling for deep-space missions. The engine accounts for solar interference, relativistic one-way light time (OWLT) delays, and strict bandwidth constraints across multiple planetary destinations.
PythonStreamlitNumPyPandasscipyplotly
Space ↗
Lunar/Martian Dust Storm Prediction & Mitigation System
AI-powered system that forecasts dust storm onset, intensity, and movement on the Moon or Mars using simulated (and pluggable real) sensor data optical depth, surface thermal, and particle density measurements. Machine learning models predict storm probability and trajectory, while a rule-based decision layer recommends protective actions for rovers, habitats, and solar arrays. An interactive Streamlit + Plotly dashboard shows live storm probability maps, intensity forecasts, affected assets, and recommended mitigation strategies.
PythonNumPyPandasscikit-learnStreamlitplotly
Healthcare ↗
Medical Jargon Translator
Translates confusing medical terminology from doctor's notes and lab reports into plain English using AI. Includes follow-up Q&A, history saving, and report export.
PythonGroq APISQLite
Healthcare ↗
Heart Attack Prediction Pipeline
A comprehensive end-to-end machine learning project for predicting heart attack risk using patient medical data, from exploration to model evaluation.
PythonScikit-learnSeaborn
Healthcare ↗
Medical Cost Prediction System
An interactive ML web app that predicts healthcare costs based on patient demographics and health factors. Built with Scikit-learn and Streamlit.
PythonScikit-learnStreamlit
Healthcare ↗
Medical Note AI Assistant
An intelligent system that transcribes voice recordings into structured SOAP-format clinical notes, supporting 6 languages with persistent database storage.
PythonSpeech-to-TextNLP
Healthcare ↗
CareTrack-Patient Side-Effect Tracker
A supportive oncology symptom tracker that helps patients identify patterns in self-reported data and prepare for doctor conversations.
PythonplotlyPandasLangChain
Healthcare ↗
PHI De-identification Pipeline
A production-grade, HIPAA Safe Harbor compliant pipeline for scrubbing Protected Health Information (PHI) from clinical notes, PDFs, and audio transcripts built for AI research dataset preparation.
PythonFakerFast APIpydanticscikit-learn
Healthcare ↗
Clinical Pathway & Treatment Decision Ontology RAG
A small, ontology-backed retrieval-augmented generation (RAG) system for clinical pathway and treatment questions. Runs on a normal laptop no GPU, no database server, minimal RAM, no paid API required.
PythonNetworkXscikit-learnNumpyPandas
Healthcare ↗
Drug-Drug Interaction Risk Predictor with Explainable AI
An offline-capable, knowledge-graph-driven clinical decision support system that predicts multi-class drug-drug interaction (DDI) risks (Mild, Moderate, Severe), generates transparent natural language explanations via SHAP feature attributions and NetworkX graph traversal, and suggests safer therapeutic alternatives.
PythonFastAPIuvicornstreamlitnetworkx
Healthcare ↗
Rare Disease Differential Diagnosis Assistant
A prototype decision-support tool that takes a patient's longitudinal lab results (CBC, metabolic panel, liver enzymes, plus a few adjunct markers).
PythonPandasNumpyscikit-learnstreamlit
Quantum ↗
Quantum-Inspired Orbital Magnetic Anomaly Detector (QOMAD)
Simulating next-generation geomagnetic sensing by fusing ESA Swarm satellite data, machine learning anomaly detection, and quantum magnetometry physics — all in Python.
PythonQuantum MLESA SwarmAnomaly Detection
Quantum ↗
Quantum-Inspired Biomedical Magnetometry Anomaly Detector
NV-center diamond quantum magnetometry meets neural anomaly detection — leveraging squeezed quantum states and classical ML to detect subtle brain magnetic anomalies from MEG-like signals.
PythonQuantum MLNeural NetworksHealthcare
Quantum ↗
Hybrid Quantum Neural Network for ECG Arrhythmia Classification
End-to-end hybrid quantum-classical neural network (HQNN) for arrhythmia detection on the MIT-BIH dataset, combining CNN/LSTM feature extraction with a parameterized variational quantum circuit (VQC). Benchmarked against classical baselines in noisy and low-data regimes.
PythonVQCCNN/LSTMMIT-BIH
Quantum ↗
Quantum Gravity Anomaly Detector for Earth Observation
Simulating next-generation space-based cold-atom gravity gradiometry for climate monitoring and geohazard early warning.
PythonNumPyscikit-learnmatplotlibscipy qutip
Quantum ↗
Quantum Illumination Radar Anomaly Detector
Simulating next-generation photonic radar using entangled two-mode squeezed vacuum states demonstrating quantum advantage over classical coherent-state illumination in high-clutter, low-SNR environments.
PythonNumPyscikit-learnmatplotlibscipy qutip
Quantum ↗
Quantum Tensor Network Simulator
A high-performance Python toolkit for studying real-time many-body quantum dynamics in strongly correlated 1D spin systems, with an interactive browser-based dashboard for instant visualization.
PythonNumPyScipymatplotlibtqdm quantum
Quantum ↗
End-to-End BB84 QKD Simulation with Noise, Eavesdropping, and Finite-Key Analysis
A complete classical simulation of the BB84 quantum key distribution protocol, including realistic fiber loss, misalignment/depolarizing noise, an intercept-resend eavesdropper, sifting, QBER estimation, error-correction cost, and finite-key privacy amplification. Includes experiments sweeping distance, noise, eavesdropping strength, and block size N, with plots.
PythonNumPyPandasMatplotlibScipy quantum
Quantum ↗
Hybrid Quantum Generative Adversarial Network (QGAN)
A Python implementation of a hybrid quantum-classical Generative Adversarial Network (QGAN) designed for synthetic tabular data generation. Built using PennyLane and Autograd (NumPy), this framework embeds continuous latent noise into a Parameterized Quantum Circuit (PQC) generator while training against a classical discriminator to generate realistic low-dimensional distributions without deep learning framework overhead (such as PyTorch or TensorFlow).
PythonNumPyPennyLaneQuantum ComputingMachine Learning Data Science
Quantum ↗
Hybrid Quantum-Classical Reinforcement Learning
An end-to-end hybrid RL agent that replaces the hidden layer of a policy network with a parameterized quantum circuit (PQC), trained with REINFORCE and benchmarked against a pure classical MLP baseline for sample efficiency and final performance.
PythonNumPyPennyLaneGymnasiumPandas Matplotlib
Machine Learning ↗
F1 Predictions 2026
Predicting race outcomes for the 2026 Formula 1 World Championship using machine learning, FastF1 API data, and historical race results.
PythonFastF1 APIScikit-learnData Analysis
Machine Learning ↗
California House Price Prediction
A machine learning project that generates synthetic California housing data and trains a Gradient Boosting Regressor to predict house prices across 6 California regions.
PythonGradient BoostingSynthetic DataScikit-learn
Machine Learning ↗
Universal Interview Coach
An AI‑driven Socratic interview coach built with the Groq API (LLaMA 3.3 70B), FastAPI, SQLAlchemy, and a minimal single‑file frontend, designed to guide users through challenging technical questions by prompting deeper reasoning rather than providing direct answers.
PythonFastAPISQLAlchemyGroqLLaMA 3.3 70B
Machine Learning ↗
Semantic Search Pipeline
A fully local, portfolio‑grade semantic search system that uses dense embeddings with FAISS, sentence‑transformers, and LangChain to deliver high‑performance, RAG‑style document retrieval without relying on any paid APIs.
PythonLangChainFAISSStreamlit
Machine Learning ↗
Learning-to-Rank System (LightGBM LambdaMART)
A high-performance, resource-efficient search re-ranking engine designed for local environments. This system leverages LambdaMART to optimize information retrieval by orchestrating traditional BM25 scoring and modern embedding similarities into a sophisticated ranking model.
Pythonxgboostpandasnumpy scikit-learn FAISS Streamlit
Machine Learning ↗
Bayesian A/B Test Outcome Predictor
Traditional A/B testing forces you to pre-commit to a sample size and wait 4-8 weeks for statistical significance. This project implements Bayesian sequential testing, a method used at Netflix, Airbnb, and Booking.com that continuously updates beliefs as data arrives and declares winners the moment confidence is high enough.
Pythonnumpypandasscipy plotly Streamlit
Machine Learning ↗
LitGraphRAG-Intelligent Literary Knowledge Assistant
A professional GraphRAG-powered literary assistant designed to reason across books, authors, themes, and historical influences. By leveraging a local NetworkX knowledge graph and ChromaDB hybrid vector search, LitGraphRAG provides deep, context-aware insights into the literary world.
PythonLangChainNetworkXChromaDB Groq API HTTPXPydanticPandasMatplotlibPytestStreamlit
Machine Learning ↗
Real-Time 3D Human Pose Mirror & Motion Analyzer
Real Time 3D captures your body movements through a webcam, estimates 33 full-body 3D keypoints using MediaPipe Pose, and renders a live-mirrored 3D skeleton in Three.js, all while a Python engine (running in-browser via Pyodide) computes joint angles, applies signal filtering, analyses your posture, and tracks motion dynamics in real time.
PythonJSONNumPyscipy HTML CSS JavaScript
AI / LLM ↗
Local Log & Observability Analyzer — MCP Server
Zero-cost, fully local, pure Python stdlib MCP server that processes 10k+ log lines/min and generates real-time natural-language insights. Ask questions like "What's wrong with my app.log in the last 10 minutes?" — cuts manual log review by 80% with <200ms live-query latency.
PythonMCPstdlib onlyObservabilityZero-cost
AI / LLM ↗
Memory-Aware Agent
Treats long-term memory as first-class infrastructure — external to the model, persistent, and structured. Built with LangChain + SQLite + Groq (LLaMA 3.3 70B), enabling fully stateful agents with 100% session persistence, semantic-search procedural memory, and autonomous write-back loops that improve long-horizon task reliability by 40–60%.
PythonLangChainSQLiteGroqLLaMA 3.3 70B
AI / LLM ↗
Deep Research Agent MCP Server
Automates the full research pipeline from web search to a structured executive report in under 10 seconds. Uses a 4-tool pipeline powered by the Tavily Search API and a pure-Python TF-IDF + K-Means engine for semantic clustering, with a live Streamlit chat interface.
PythonMCPTavily APITF-IDFStreamlit
AI / LLM ↗
Autonomous Coding Agent — MCP Server
A fully autonomous coding agent that runs from your terminal in VS Code. Uses Groq's free API (LLaMA 3) to plan, write, run, and fix code on your behalf — give it a task in plain English, it handles the rest.
PythonMCPGroq APILLaMA 3VS Code
AI / LLM ↗
Socratic Math Tutor
An AI-powered math tutoring app that guides students through problems using Socratic questioning, one small step at a time, rather than just handing out answers.
PythonMCPGroq APILLaMA 3VS Code
AI / LLM ↗
CodeAudit — LLM-Powered Code Review Assistant
An intelligent code review assistant that analyzes GitHub Pull Request diffs and delivers structured, actionable engineering feedback powered by Groq's ultra-fast inference API.
PythonLPU InfranceGroq APILLaMA 3Streamlit
AI / LLM ↗
DevOps MCP Hub
A production-inspired Model Context Protocol (MCP) server that standardizes DevOps tooling, GitHub, Kubernetes, Prometheus, and Groq AI into plug-and-play tools consumable by any MCP-compatible AI assistant, including Claude Desktop, Cursor, and VS Code Copilot. Built for developers who want real AI-powered incident response without the infrastructure overhead.
PythonMCPPydanticPyGithub
AI / LLM ↗
Multi-Agent Debate Simulator
A multi-agent AI system where three LLM-powered agents debate any topic across multiple rounds. Built with LangGraph for agent orchestration, Groq for fast inference, LangSmith for observability, Flask + SQLite for the backend, and a custom real-time dashboard. Features per-round scoring across Logic, Evidence, Rebuttal, and Persuasion criteria.
PythonLangGraphLangChainLangSmithFlaskGroq API
Web Development ↗
Polymarket Live Markets Viewer
A real‑time dashboard for browsing Polymarket prediction markets, fetching live odds and markets via API and displaying them in a clean, interactive UI.
Python FastAPI Polymarket API Streamlit Dashboard
Web Development ↗
StreamAI — Next‑Gen OTT Platform with CDN & AI
A full‑stack OTT streaming platform with web player, CDN‑backed video delivery, and AI‑assisted content or UX features built using modern web and media technologies.
Python FastAPI React CDN AI
Web Development ↗
Multi-Tenant SaaS Starter
The foundation every B2B product needs auth, org management, team invites, and role-based access control, production-ready from day one.
Next.JS Supabase Stripe TypeScript Tailwind CSS

What I work with

Languages
PythonJavaC++ JavaScriptTypeScriptSQL HTML5CSS3Q#
AI / ML & NLP
LangChainRAGPyTorch TensorFlowHugging FacespaCy NLTKOpenCVScikit-learn PandasNumPyNLP Vector SearchLangGraphKnowledge Graph
Frameworks & APIs
FastAPIDjangoFlask ReactNode.jsVue.js StreamlitSQLAlchemyGroq API OpenAI APIClaude API OpenRouter API
Cloud & DevOps
Google CloudVertex AIDocker FirebasePostgreSQLMongoDB CI/CDGit
Let's work together

I'm always open to new opportunities and interesting collaborations. Feel free to reach out on LinkedIn!