I’m an AI / ML Engineer with an M.S. in Computer Science, Graduate from the University at Buffalo.
My passion is turning cutting-edge research into production-ready solutions—especially in fintech (fraud detection, risk modeling) and medtech (clinical NLP, imaging).
I’m actively seeking full-time roles where I can design scalable ML systems and lead cross-functional teams from prototype to deployment.
As a Graduate Teaching Assistant for Deep Learning (CSE 676), I mentored 80 + students, graded projects, and conducted workshops on transformers and generative models.
- Multi-cloud ML pipelines that fuse event-driven architectures (Kafka, Pub/Sub) with LLM-powered services.
- Domain-specific RAG frameworks.
- Vision & Multimodal Transformers for tabular-image fusion
- Reg-tech & HIPAA compliance for AI applications
- MLOps best practices on AWS / Azure
Machine Learning · LLMs & RAG · Cloud MLOps · Data Engineering · AI for Social Good
Core ML / Data | Cloud & DevOps | Web & App |
---|---|---|