3 years building Agentic AI, GenAI pipelines, and LLM-based solutions on AWS. Specialising in RAG architectures, autonomous agent workflows, and production-grade MLOps.
AI-powered code analysis tools that identify security vulnerabilities and auto-fix issues. Includes a phishing detection system that crawls domains and flags threats via similarity analysis.
Clinical AI platform using AWS Textract, Transcribe, and SageMaker for document extraction, speech-to-text, and model training across 10,000+ clinical records at ~92% accuracy.
Full-featured TMS with logistics, fleet planning, and route optimization for 500+ daily users. AI-integrated features reduced manual dispatch errors by ~25%.
Rebuilt mobile application with Python backend and React Native frontend. Fixed iOS stability issues, implemented API endpoints and full business logic layer.
National Cyber Security AI Challenge winner, Bhubaneswar. Recognised for building AI-driven cybersecurity solutions at national level.
Graduated top of class with a CGPA of 9.29/10 from Silicon Institute of Technology, Bhubaneswar (2021–2023).
Achieved 2nd rank at state level in the Mathematics Olympiad, Bhadrak — strong analytical foundations.
AWS Master Certified with hands-on expertise across Bedrock, SageMaker, Lambda, EC2, SQS, Transcribe, Textract, and Comprehend.
Open to full-time AI/ML engineering roles, freelance AI projects, and collaborations. Based in Bhubaneswar, India — working globally.