AI/ML Full Stack Engineer with 5+ years of experience designing and deploying scalable machine learning systems, LLM-powered applications, and production-grade full-stack solutions.
Expertise spans LLM architectures, RAG pipelines, MLOps workflows, and end-to-end AI system development — bridging research, engineering, and business impact.
- Embrix — Local-first AI toolkit for vector search, agents, RAG, and workflows
- Neurova — Complete TypeScript AI framework (UI + Backend + AI)
- Nalyst — Full-stack machine learning & AutoML toolkit
- Algorithm-stat — Unified quantitative finance & backtesting toolkit
- SCG Auth — Lightweight OAuth2 + JWT authentication library
- Crypto Gate — Zero-dependency cryptographic toolkit
- SCG Lab — Multi-language interactive notebook environment
- JWT SCG — Secure & universal JWT library
Languages:
Python • Go • TypeScript • JavaScript • SQL
AI & Machine Learning:
PyTorch • TensorFlow • LangChain • scikit-learn • XGBoost
LLM & RAG:
OpenAI • FAISS • Pinecone • Milvus
Full Stack:
Frontend: React • Next.js • Tailwind CSS
Backend: Node.js • Express • gRPC
Databases: PostgreSQL • MongoDB • MySQL
MLOps & Cloud:
Docker • Kubernetes • AWS • Azure • GCP • Airflow • Kafka • Spark
Monitoring:
Prometheus • Grafana • Tableau
- LLM Systems & Agentic Workflows
- Retrieval-Augmented Generation (RAG)
- Scalable MLOps Pipelines
- Real-time AI Applications
- Secure & Performant Web Architectures