Headline

making tal matchmake!

About

I'm a final year Computer Science (AI & Data Science) student at IIIT Ranchi, passionate about building scalable backend systems and modern, user-friendly frontends. Over the past few years, I've worked across early-stage startups and fast-moving projects: At Awshar AI, I developed DeepSense AI, contributing to intelligent systems at the edge of deep learning. At removeQ, I helped build Tigsaw, a productivity-focused solution tackling real-world collaboration challenges. Currently at GoLaddu, I'm working on an Aadhaar-verified social media platform, focusing on authentication, scalability, and secure infrastructure. My technical toolkit includes: Backend: Node.js, Typescript, Python, Docker, Kubernetes, REST APIs, Microservices, Scalable System Design Frontend: React.js, Next.js, React Native Database & Tools: MongoDB, PostgreSQL, Redis, Git, CI/CD I'm always up for solving challenging engineering problems, especially where real-world impact meets clean architecture. Let’s connect if you're working on something exciting or want to chat tech

Location

Lucknow

Work experience

Member of Technical Staff at tal, Apr 2026 - Present · 5 mos, Bengaluru

Software Engineer Intern at tal, Nov 2025 - Apr 2026 · 6 mos, Bangalore Urban

SWE - Backend Intern at Grapevine Round1 AI, Nov 2025 - Apr 2026 · 6 mos, Bengaluru

Software Developer Internship at Go Laddu, Aug 2025 - Oct 2025 · 3 mos, Remote, 1. Built and deployed Community & Search features in React Native, driving a 22% increase in user retention and enhancing in-app content discovery. 2. Architected scalable database schema supporting real-time chat, referrals, and CRM workflows, reducing query latency by 35%. 3. Implemented Supabase Edge Functions & Database RPCs, cutting API response times by 40% and improving scalability for mobile-backend integration.

Technology Intern at Awshar AI by Delishia Analytics, Feb 2025 - Apr 2025 · 3 mos, Lucknow, Uttar Pradesh, India, 1. Developed a multilingual web scraping system for 10+ newspaper sources, automating data collection and cutting manual aggregation by 80%. 2. Enhanced NLP sentiment analysis accuracy by 25% through optimized multilingual preprocessing and sampling techniques. 3. Collaborated with the CTO to redesign backend APIs and pipelines for production-grade NLP monitoring and ingestion.

Education

Bachelor of Engineering - BE, Computer Science, Indian Institute of Information Technology Ranchi