
Computer Science graduate specializing in AI, with deep expertise in agentic AI systems, knowledge graph engineering, and automated data pipelines. Passionate about turning cutting-edge AI research into practical tools that help users extract insights from complex information.
Python, SQL – Expert
Agentic AI & LLM Systems – ExpertLangChain, Letta SDK (multi-agent orchestration), prompt engineering
Memory management, context handling, streaming responses (SSE)
RAG & GraphRAG Systems – Expert
Document ingestion pipelines, hybrid search, knowledge graph construction
Chunking strategies, embedding optimization
Knowledge Graphs & Graph Databases – Expert
FalkorDB, Neo4j, OpenCypher query language
Graph modeling, relationship traversal, PageRank algorithms
Vector Databases & Embeddings – Experienced
FAISS, Qdrant, Supabase Vector
Embedding models, similarity search, hybrid retrieval
Workflow Automation & Integration – Expert
n8n (end-to-end automated pipelines, API integrations, error handling)
Event-driven architectures, webhook processing
Backend Development & APIs – Experienced
FastAPI, REST APIs, authentication (JWT/Supabase Auth)
Background task processing (Redis, TaskIQ)
Cloud Infrastructure & DevOps – Experienced
Docker, Docker Compose, CI/CD pipelines
Supabase (Auth, Storage, Database), Redis
Web & Mobile Development – Experienced
Laravel, Flutter
Machine Learning & AI Modeling – Experienced
C, C# – Experienced
Data Structures & Algorithms – Skillful
Power BI / Tableau – Beginner