Building practical software at the intersection of Artificial Intelligence, cloud technologies, and full-stack engineering.
I am a Computer Science Engineering undergraduate focused on building reliable, intelligent, and user-centered software. My work spans full-stack development, Generative AI, large language models, RAG systems, AWS Cloud, and database-driven applications.
I enjoy turning complex ideas into practical products, contributing to team projects, participating in hackathons, and strengthening my foundations in software engineering, system design, and applied AI.
Focus AI Engineering · Full Stack Development · Cloud Applications
Interests Generative AI · LLMs · RAG · AI Automation · Backend Systems
Approach Learn deeply · Build deliberately · Iterate continuously
Git · GitHub · VS Code · Figma · REST APIs · DSA · OOP · DBMS · Operating Systems · Computer Networks
A locally running personal AI assistant built with Python and Ollama, integrating tool selection, web search, Python execution, file operations, and persistent memory.
Python Ollama AI Agents Tool Use Persistent Memory
A Retrieval-Augmented Generation chatbot that provides personalized travel recommendations through document retrieval, vector search, and source-based responses.
Python LangChain Groq LLM ChromaDB Streamlit RAG
An intelligent emergency traffic-management solution supporting ambulance tracking, signal preemption, hospital assignment, and citizen alerts. Contributed as Team Leader, Frontend Developer, and Research Contributor.
| Organization | Role | Period |
|---|---|---|
| IBM SkillsBuild | AI Automation & Intelligent Solutions Intern | June 22, 2026 – July 31, 2026 |
| ThinkChamp Pvt. Ltd. | Python with GenAI Intern | May 19, 2026 – June 19, 2026 |
| Prodigy InfoTech | Web Developer Intern | March 1, 2026 – March 31, 2026 |
Experience includes AI automation, workflow design, API integration, Generative AI applications, responsive web development, and practical software delivery.
A research project exploring intelligent vulnerability localization across decentralized-finance codebases. The work evaluates 10 EVM chains, 80+ vulnerability types, 1,059 annotated exploits, and 10K benign transactions, achieving an F1-score of 0.969 and reducing false-positive rate by 4.7 percentage points.
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Python with Generative AI — ThinkChamp Pvt. Ltd.
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AWS Cloud
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Machine Learning with Python — IBM / Coursera
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Artificial Intelligence: Concepts and Techniques — NPTEL
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Java — Great Learning
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Retrieval-Augmented Generation (RAG) Course
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First Place — NVIDIA Robotics & AI Workshop for developing a Smart Attendance System.
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Second Place — NEXORA Hackathon 2026 among 70 teams for developing the SETRS Emergency Traffic Response System.
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National-Level Participant — Smart India Hackathon for developing an NLP-powered Healthcare Chatbot.
I am expanding my capabilities in AWS Cloud, AI automation, large language models, RAG applications, Spring Boot, system design, and scalable full-stack systems. I am especially interested in opportunities where thoughtful engineering and applied AI create measurable real-world value.
Learn deeply. Build deliberately. Improve continuously.