Building products and solutions that make a difference. Here's my journey so far.
4 positions
Designed and built the user and admin dashboards for Product 2.0 and a production-grade internal Rich Text Editor from scratch — owning the full frontend–backend architecture and delivering real-time, high-performance UI/UX.
Building a security automation platform using LLMs to detect threats across the SDLC. Working on frontend UI, Jira auto-ticket integration, backend pipelines, and training AI agents to streamline threat detection and reporting.
Working as a founding member of the company, I am responsible for developing and maintaining the company's products based on the latest AI/ML technologies and frameworks.
Built security tooling and scalable solutions, optimized API performance, and delivered the client onboarding platform from development to production.
The languages, frameworks, and fundamentals I reach for when building.
Explorations in code that fuel my curiosity and growth
AI-enhanced browser platform for UI development. Users describe what they need and LLMs (Groq, Llama) generate the code, previewed instantly in-browser via WebContainers.
AI-powered web app where users connect their wallet (e.g. Phantom) and use prompts to get real-time crypto analysis or execute Solana transactions — transfers and trades — directly through the connected wallet.
Uptime monitoring service that never sleeps. A comprehensive monitoring solution for tracking website and service availability.
GitHub-integrated AI code review platform built on event-driven architecture with RAG, vector embeddings, and LLMs. Analyzes entire codebases, automates PR reviews with inline comments, and delivers actionable repository insights via scalable async processing.
Recognition from hackathons, competitions, and the wider community.
Finalist at the national level in India’s largest hackathon.
Top finisher in Amazon’s flagship machine learning competition.
First place in a globally held Solana build sprint.
Selected among the top teams globally.
Advanced to the semi-finals of Flipkart’s engineering challenge.
Reached the semi-finals in a global generative-AI hackathon.
Podium finish in an inter-college hackathon.
Active competitive profile · Global Rank 6,805.
Research papers and publications I've contributed to
As a result of recent advances in deep learning, several breakthrough stories in modern medical diagnostics with data-driven insights into improving healthcare facilities' quality of treatment have arisen. Deep learning methods that perform well are significantly data-driven...
With the rise in the amount of news available today, the need for its classification has emerged. In this paper, we present methods for tagging news categories using different deep learning models along with a comparison of their effects. These models include single-channel CNN model, multichannel CNN model, and multimodal CNN model...
Groundbreaking papers I'm currently reading or plan to read
Insights, discoveries, and deep dives from my daily learning adventures
Explore the evolution, types, and best practices of authentication and authorization in modern backend systems. Learn how to secure your applications effectively.
Learn about serialization and deserialization in client-server communication, focusing on JSON as the most popular data format for seamless data exchange across languages.
HTTP Explained Like You are Building Real Backends - A friendly deep dive into protocols, headers, methods, CORS, caching, and security.
Discover how transformer models like GPT work internally—from tokenization to attention mechanisms—and understand the key concepts behind large language models.