Building intelligent systems at the intersection of language, vision, and audio. Currently a Graduate Research Extern at Dolby Laboratories and MS student at UMass Amherst (GPA: 3.95/4.0). Passionate about multimodal recommendation, RAG pipelines, and production-grade ML deployment.
I'm a Machine Learning Engineer and Researcher pursuing my MS in Computer Science at UMass Amherst (GPA: 3.95/4.0). My work sits at the intersection of multimodal AI, natural language processing, and scalable ML systems.
Currently, I'm a Graduate Research Extern at Dolby Laboratories, where I engineer multimodal sequential recommendation systems that fuse audio embeddings with behavioral signals — pushing the boundaries of how AI understands music at scale.
Before that, I contributed to the BioNLP Lab at UMass, fine-tuning large language models on biomedical corpora and building RAG pipelines that cut hallucination rates by 30%. I also interned at IIT Mandi, applying statistical analysis to COVID-19 mobility data to inform public health policy.
I hold a Gold Medal (First Rank) from IcfaiTech, IFHE. I build things that work in production: deployed on AWS, containerized with Docker, monitored in Grafana.
Graduate Research Extern at Dolby Laboratories · Multimodal recommendation with PyTorch
Amherst, MA, USA
Multimodal AI · LLMs · Computer Vision · Recommendation Systems · MLOps · Real-time Inference
Summer 2026 Internships · Full-time ML/Research roles starting December 2026
RAG agent using LangChain + FAISS + CLIP for image/text queries — 40% higher retrieval relevance over text-only baseline across 50K docs. AWS EC2 + Docker + Redis: 60% latency reduction.
YOLOv9c on BDD100K — 87.3% mAP@50. SAM integration at <28ms P95 on A100. ONNX FP16 + Kubernetes HPA on AWS: 45% cost reduction. Grafana monitoring.
Distributed 2-tier system with Flask + Docker on isolated AWS EC2 servers. Caching, replication (3 Order Service replicas), fault tolerance under concurrent REST API load.
Node.js + Express.js WhatsApp bot via Twilio API and node-cron. Automates weekly/bi-weekly reminders with user state tracking via JSON persistence.
First Rank at IcfaiTech, IFHE — four years of academic excellence across the entire CS batch.
Published in Frontiers in AI (IF: 4.7) and Elsevier Systems & Soft Computing (IF: 3.6), including a first-author paper on medical AI.
Selected as Graduate Research Extern — contributing to production-grade multimodal AI at one of audio technology's most prestigious companies.
Organized tree plantation drives and empowered individuals with disabilities across Kurnool, AP. Developed the organization's website.
Actively looking for Summer 2026 internships and full-time ML/Research roles starting December 2026. Whether it's research collaboration, a product opportunity, or just a good conversation about AI — I'd love to connect.