I design and build scalable software systems and intelligent ML applications, with a strong focus on reliability, explainability, and real-world impact.
📧 swetasahu2399@gmail.com • 💼 LinkedIn • 🌐 Portfolio
M.S. in Computer Science & Engineering (AI/ML)
University at Buffalo, SUNY — Completed December 2025
- Build backend systems that scale cleanly and fail gracefully
- Develop ML & LLM-powered applications that are grounded and explainable
- Design end-to-end systems where data, models, and infrastructure work as one
Good systems make intelligence usable.
- Retrieval-Augmented Generation (RAG) & Agentic RAG
- LLM workflows with LangChain & LangGraph
- Embeddings, clustering, semantic search, evaluation pipelines
- Fine-tuning NLP models (T5, DistilBERT, LaBSE)
- Production ML pipelines with SageMaker, Docker, CI/CD
- Event-driven architectures on AWS (Lambda, Kinesis, IoT Core)
- Scalable REST APIs & microservices (FastAPI, Spring Boot, Node.js)
- Distributed systems with Kafka & Redis
- Secure systems using Keycloak, Cognito & OAuth2
- Zero-downtime database migrations & performance optimization
✈️ Traveling and exploring new cultures- 🍳 Cooking (especially experimenting with new cuisines)
- 💃 Dancing — my favorite way to reset after debugging