AI/ML Engineer building production multi-agent systems, RAG pipelines & LLM applications
- MS in Computer Science @ George Mason University (May 2026)
- Graduate Research Assistant — building multi-agent AI systems for document intelligence
- 5 Peer-Reviewed Publications in AI/ML (IEEE, Springer, IJERT)
- Currently working on multi-agent RAG systems and LLM orchestration pipelines
- Open to full-time AI/ML Engineer roles (Summer 2026)
Languages: Python, JavaScript/TypeScript, SQL, Java, C++
AI/ML: PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, CrewAI, OpenAI API
MLOps: MLflow, Docker, Kubernetes, AWS SageMaker, CI/CD Pipelines
Data: PostgreSQL, MongoDB, Pinecone, ChromaDB, Redis, Apache Kafka
Cloud: AWS (EC2, S3, Lambda, Bedrock), GCP, Azure
Tools: Git, Linux, FastAPI, Streamlit, Weights & Biases
| Project | Description | Tech |
|---|---|---|
| IntelliDoc-Nexus | Multi-agent RAG platform for document intelligence | CrewAI, LangChain, ChromaDB, FastAPI, Next.js |
| rag-from-scratch | RAG pipeline built from ground up with RAGAS evaluation | LangChain, ChromaDB, RAGAS, Python |
| Research-Paper-Discovery | AI-powered academic paper discovery & analysis | Multi-Agent, Semantic Search, Streamlit |
| learning-agent | Voice-enabled AI agent with multi-source search | Claude, FastAPI, Next.js, Docker |
| context-aware-chatbot | Research chatbot with RAG & conversation memory | GPT-4o, Embeddings, Python |
- Prediction of Cardiac Arrhythmia using ML — IEEE ICACCS 2023
- Parkinson's Disease Prediction using Ensemble Learning — Springer ICICV 2023
- Thyroid Disease Prediction using Deep Learning — IJERT 2023
- COVID-19 Detection via Chest X-Ray with CNN — IEEE ICICT 2023
- Customer Churn Prediction using ML — IJERT 2023