AI Engineer building intelligent systems that scale — LLM agents, deep learning, and production ML pipelines.
I turn ideas into working AI systems — from retrieval-augmented agents to deep learning models trained and shipped end to end. Currently focused on LLM applications & agentic systems, MLOps/infra, and applied ML/CV/NLP.
🛰️ Sentinel — Autonomous Multimodal RAG Agent
A production-shaped RAG agent that ingests PDFs, text, and images (CLIP embeddings for hybrid text+image retrieval), answers questions through a ReAct-style tool-calling loop, and ships with what most demos skip: retrieval/answer evals, OpenTelemetry tracing, and a full CI/CD pipeline with Docker packaging.
| Project | Description |
|---|---|
| github-crawler | High-throughput GitHub GraphQL crawler ingesting star counts for 100k+ repos into PostgreSQL, scheduled via GitHub Actions. |
| Histopathology-Image-Classification | CNN-based histopathology image classifier (TensorFlow/Keras) for cancer detection from microscopy slides. |
| Fake-News-Detection-Using-Machine-Learning | NLP text-classification pipeline for detecting fake news using classical ML models. |
| mindfull_buddy | FastAPI + LLM-powered mental wellness chatbot backend, part of a multi-service final year project. |
Open to collaborating on LLM/agent tooling and ML infra projects — check out Sentinel or open an issue to say hi.