About
I am a Computer Science graduate driven by a passion for Artificial Intelligence, Machine Learning, and Deep Learning. My focus spans building scalable neural architectures, developing Natural Language Processing systems, and crafting dynamic Retrieval-Augmented Generation (RAG) pipelines to solve complex data challenges. By integrating state-of-the-art AI frameworks into clean, automated backends, I bridge theoretical research with functional, high-impact software.
Committed to innovation, I build efficient, forward-thinking systems that elevate how software interacts with the world.
Currently going deeper on
- Retrieval evaluation
- RAG systems are quick to build and slow to trust. Building the labelled question sets and recall metrics that turn “the answers look right” into a number — which is exactly the gap PolicyMind has now.
- Natural language processing
- Transformer internals, tokenization, and fine-tuning small models for narrow tasks instead of reaching for the largest one available.
- Production ML
- Serving, versioning, and monitoring — the inference-cost tradeoffs I started running into on the ANPR pipeline.
Learning tracks, listed separately from shipped work on purpose. When one turns into a project it moves to the work page.
Education
Vellore Institute of Technology, AP
B.Tech, Computer Science and Engineering
Narayana Junior College
Intermediate, MPC
Certifications
AWS Certified Cloud Practitioner
PCAP — Programming Essentials in Python
Leadership
Documentation Team Lead
LEO Club, VIT-AP
Core Team Member
Machine Learning Club, VIT-AP
Event Management
NGC Club, VIT-AP