- π M.S. Computer Science @ University of Minnesota, Twin Cities (Graduating May 2027)
- π¬ Medical Imaging Research Assistant @ UMN - Deep learning pipelines, Publishable work
- πΌ 2.5 years as Software Development Engineer @ Infibeam Avenues, Bangalore
- π€ Built LLM, RAG, and multimodal AI systems in production, including a 2Γ faster grammar correction model & a RAG chatbot with 30% better accuracy
- π¦ Shipped scalable microservices, ETL pipelines, and search infrastructure serving millions of users
- π 2Γ Published in Springer (AITA 2024 & ICT4SD 2023) and presented at research conferences
- π Actively seeking Summer 2026 Software Engineering Internships
- π― Iβm looking to collaborate on projects related to AI/ML, and full-stack development.
- πΊ Trained Bharathanatyam dancer & proud recipient of the Kalai Ilamani Award π
| Impact | What I Built |
|---|---|
| 2Γ faster processing | LLM training, quantization & GPU-optimized deployment for grammar correction on AWS EC2 G5 |
| 30% accuracy boost | RAG chatbot with LangChain + ChromaDB vector store + LLM re-ranking |
| 3Γ seller adoption | Microservices-based coupon management system - Owned full SDLC end to end |
| 4,000 images/day | Multimodal CLIP-based image filtration exposed via RESTful APIs on Kubernetes |
| 40% reliability boost | Kafka-driven Elasticsearch index management for Rediff Mail search infra |
| 60% less memory spikes | ETL pipeline for multilingual PDFs with Redis caching |
- π "Content-Based Tagging and Recommendation System for Tamil Songs" β Springer AITA 2024, Singapore
- π "Real-Time Suppression of Non-stationary Noise for Web-Based Calling Applications" β Springer ICT4SD 2023, Singapore
I love talking Technology, Research, AI, or Bharathanatyam π
Always open to collaborations, internships, and interesting conversations!