Who I am
I'm a Software Engineer at Pype, Bengaluru, where I architect AI-powered voice agents and scalable web applications serving thousands of users.
My work focuses on building intelligent systems using LiveKit, Next.js, and AWS to create seamless voice interactions and real-time experiences.
Previously researched at Samsung Prism and independently published 2 research papers in Springer conferences on blockchain and computer vision.
B.Tech Computer Science from IIIT Naya Raipur · CGPA 8.24/10 · Competitive Programmer (Leetcode 1800+).
Where I've worked
Software Engineer
CurrentArchitecting AI-powered voice agents using LiveKit for real-time telephony. Built a Next.js 15 + React 19 + TypeScript dashboard for agent lifecycle management, real-time call monitoring, and SSO auth. Developed serverless architectures on AWS Lambda with DynamoDB and SQS.
Research Intern
ResearchConducted research in AI and machine learning at Samsung Prism, working on LLM engineering, advanced AI applications, and ML model optimization. Contributed to innovative projects advancing state-of-the-art in AI systems.
B.Tech Computer Science
EducationCGPA 8.24/10. Won multiple hackathons including Hackfest IIT Dhanbad and Google Gen-AI Hackathon. Published 2 independent research papers in Springer conferences. Active competitive programmer.
Things I've built
GitDox
AI AgentAI agent that auto-generates comprehensive technical documentation by analyzing code structure, PR history, and codebase context. Uses RAG to understand code semantics.
Seekho
Gen-AIGen-AI powered cross-platform mobile app for NPTEL courses with automated content generation, regional language support, and interactive learning modules.
Seekr
Hackathon WinnerAI-powered video learning platform that won Hackfest IIT Dhanbad. Natural language questions about video content with timestamped results using frame and audio search.
SecureSign
BlockchainDecentralized document signing platform with blockchain-based tamper-proof authentication. Solidity smart contracts on Ethereum for cryptographic signature verification.
Research I've published
Blockchain-Based Multi-authorized Secure Digital Signature Framework
Introduces innovative authentication measures for document security by exploring multiple signature authentication and time-constrained signature features. Addresses vulnerabilities in conventional digital signature methods using blockchain's immutability and cryptographic properties.
View Paper↗Computer Vision-Based Self-inflicted Violence Detection
Presents a system using computer vision to identify suspicious behavior in high-risk areas. Employs cameras to detect individuals in hazardous locations by analyzing video using deep learning and computer vision techniques.
View Paper↗Things I write about
Writing about AI/ML, full-stack development, and engineering on Hashnode ↗