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


