I build backend-driven AI systems with a focus on retrieval, LLM applications, and agent orchestration. My work combines backend engineering with modern AI techniques to build reliable, production-oriented systems.
My goal is to become an AI Engineer specializing in AI systems and inference engineering by building production-ready projects, understanding the underlying concepts, and contributing to open source.
Backend platform for document ingestion, semantic retrieval, LLM integration, and agent workflows.
Concepts
RAG • Embeddings • Semantic Search • Vector Retrieval
Unsupervised anomaly detection system for aircraft telemetry with explainable diagnostics and visualization.
Concepts
PCA • DBSCAN • Feature Engineering
Computer vision system for crop disease detection and targeted agricultural spraying on edge devices.
Concepts
CNNs • Edge AI • Computer Vision
LLM-powered workflow automation platform using planner, executor, and validator agents.
Concepts
Agent Systems • Tool Calling • Workflow Automation
Python • C • C++
LLMs • RAG • Embeddings • Vector Databases • LangGraph • MCP • Agent Systems
FastAPI • PostgreSQL • Redis • REST APIs • SQLAlchemy • Pydantic
Docker • Linux
- AI Systems
- LLM Applications
- Retrieval Systems
- Agentic AI
- Inference Engineering
