Computer Science undergraduate (2027) with hands-on experience building Full-stack and AI-powered applications using Python, JavaScript, React, Node.js, and MongoDB. Developed scalable RAG systems, blockchain applications, and accessibility-focused AI platforms with emphasis on performance and real-world usability. Also interest in backend systems, AI engineering, and product development.
UEM Aeromodelling Club
Coordinated technical workshops and collaborative engineering events for 100+ students.
Led cross-functional student teams in project planning and execution activities.
Mentored junior members in technical problem-solving and engineering workflows.
Bachelor of Technology
CGPA: 8.7 / 10 (up to 5th semester)
Python, LlamaIndex, MongoDB Atlas
Built an AI-powered RAG platform for querying and understanding GitHub repositories.
Designed scalable ingestion and indexing pipelines for 100+ Markdown and source code files using LlamaIndex and vector embeddings.
Integrated Gemma-2 9B for contextual repository search and developer assistance, improving repository understanding efficiency by 40%.
Stored and managed 10k+ vector embeddings in MongoDB Atlas for low-latency semantic retrieval.
Python, OpenCV, React, Node.js
Developed an AI-powered accessibility platform enabling real-time object detection and voice assistance for visually impaired users.
Integrated computer vision pipelines capable of identifying 50+ everyday objects with low-latency audio feedback.
Implemented speech-to-text and text-to-speech pipelines, reducing navigation effort by approximately 60%.
Optimized multimodal image, audio, and video processing pipelines to achieve response times below 2 seconds.
JavaScript, Node.js
Developed a JavaScript-based blockchain simulation replicating Bitcoin network across 5+ interconnected nodes.
Implemented transaction validation, SHA-256 hashing, and block mining logic to simulate decentralized consensus.
Simulated peer-to-peer network communication using Node.js, enabling real-time synchronization between nodes.
Optimized transaction verification workflows, reducing block validation execution time by approximately 30%.
Developed strong foundations in Python programming, algorithms, and computational thinking through the NPTEL course.
Built a project with team DevWizard, secured 6th place among all teams in the national hackathon.
Solved 200+ data structures and algorithms problems covering arrays, strings, recursion, and graph algorithms.
Secured 92% in Senior Secondary Education and 88% in Secondary Education, demonstrating strong academic performance.