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Full-Stack Development
June 13, 2026 – Present
WhoRenderedThis
February 9, 2026 – Present
Hover over any element to see which React component rendered it
View Projectflux-cache
January 8, 2026 – Present
Adaptive semantic cache for LLMs with streaming support, ML-based thresholds, and real-time cost tracking. Built in Rust for sub-millisecond performance.
View Projectreadme-maker
November 21, 2025 – December 10, 2025
AI-powered tool that automatically generates professional README files for GitHub/GitLab/Bitbucket repositories using LangGraph agents, AST parsing, and real-time WebSocket streaming
View Projectveo3-workflow-agents
August 3, 2025 – September 7, 2025
A complete AI-powered video generation pipeline that enhances creative prompts and generates high-quality videos using Google's Veo3 API, requiring only a single API key.
View Projectredirect-url-extension
July 14, 2025 – August 26, 2025
Instantly redirect URLs with a powerful Chrome extension that uses custom rules and regex.
View Projecttalkinglands-take-home-assignment
March 27, 2025 – March 30, 2025
A robust backend API built with FastAPI and PostGIS for managing and querying spatial data, including points, polygons, and complex spatial relationships
View ProjectmaaKaVi
July 13, 2024 – July 14, 2024
An interactive educational platform where students can learn coding through community-created lessons. The platform features a documentation interface with interactive elements like a code editor or quizzes, and a forum for discussing doubts and questions. Join us in building a collaborative and enriching learning environment!
View Projecttech_affairs_website
September 20, 2022 – May 26, 2024
tech_affairs_website — GitHub repository
View ProjectIIITDMK-Codes-Year-3-4
August 5, 2022 – April 14, 2024
Codes done by me in Labs, projects and exams in my 3rd & 4th Year at IIITDMK
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong inclination towards personal projects, many of which involve cutting-edge technologies like AI, LLMs, and Rust. This indicates a curious and innovative mindset, which could be a good cultural fit for a fast-paced, tech-forward environment. The breadth of technologies used (Python, TypeScript, Rust, C++, Prolog) suggests a versatile learner. However, the lack of team-based or open-source contributions makes it difficult to assess collaboration and broader cultural alignment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven individual, capable of tackling complex technical challenges independently. The diversity of projects suggests adaptability and a willingness to explore new technologies. However, without psychometric test results or interview data, a comprehensive assessment of soft skills, stress handling, and team collaboration is not possible.