Undergraduate engineer at IIT Patna and KGRCET, architecting autonomous AI agents, Model Context Protocol (MCP) systems, and self-healing distributed platforms.
I'm a Computer Science student pursuing a B.Tech at KG Reddy College of Engineering & Technology and a BS in Computer Science & Data Analytics from IIT Patna. My work sits at the intersection of Artificial Intelligence, Software Development, and Workflow Automation.
Over the past year I have contributed to AI-focused R&D involving OCR, Machine Learning, Large Language Models, and intelligent automation. During a research internship at CBIT I built a medical abbreviation expansion system that converts handwritten notes into clear clinical language using EasyOCR and custom AI pipelines.
Beyond academics I actively compete in hackathons and national-level technical events, earning top placements at YUKTI'26, FESTRONIX, SUDHEE 2K25 and IKARUS'26. I care deeply about how software feels and enjoy turning complex ideas into working solutions.
Working as a Software Engineering Intern, gaining hands-on experience in designing, developing, testing, and improving software modules for real-world applications. Contributing to web applications, backend services, AI integrations, and related system components following modern software engineering practices.
Collaborated in the design and development of an Autonomous Learning Agent integrating checkpoint verification and Feynman-based learning methodologies. Contributed to system architecture discussions and worked within a multidisciplinary team under Data Scientist mentorship.
Developed an AI-powered application that expands handwritten medical abbreviations into understandable clinical terminology. Built an OCR pipeline using EasyOCR, designed a custom medical abbreviation knowledge base, and deployed the solution on Hugging Face Spaces via Gradio.
Contributed to an offline AI chatbot emulating human behaviour through psychometric and behavioural modelling. Researched Indian AI ecosystems (Krutrim, AI4Bharat, F5-TTS), designed evaluation frameworks for reasoning and emotional intelligence, and supported RAG and voice technology roadmap planning.
Rigorous coursework across distributed systems, algorithms, statistics, and machine learning. Building open-source agentic platforms, MCP servers, and developer tooling.
Parallel CSE program. Active in coursework, technical hackathons, and campus engineering projects with top national-level competitive placements.
Open to internships, collaborations and interesting problems — especially if they involve agents, developer tools or thoughtful interfaces.