First Year @ IITJ | AI & ML Developer | Quantitative Systems Researcher | Google Big Code ( Top 50 ) | MIT MicroMasters Scholar | Open Source Mentor | GDG Lead
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Google for Education
ML Developer Intern
June 14, 2026 – Present
rag-qa-platform
May 31, 2026 – Present
A production-grade Retrieval-Augmented Generation (RAG) system. Upload PDFs, text files, or URLs — then ask questions and get answers grounded in your documents, with cited sources.
View ProjectNeuralEye
May 30, 2026 – Present
Live webcam object detection powered by TensorFlow.js + COCO-SSD. No backend, no API keys, no installation. Just open and detect.
View ProjectQuantpairs
May 30, 2026 – Present
Production-grade pairs trading system using cointegration, mean-reversion, and Kelly-optimal position sizing.
View ProjectGSoC-Org-Finder-
February 23, 2026 – Present
Find your perfect GSoC 2026 organization- filter all 184 selected orgs by your tech stack, language, and domain. No install needed.
View ProjectFoodGram
October 23, 2025 – Present
A social video platform for food lovers. Share and discover food reels from local partners. Built with React, Node.js, and MongoDB.
View ProjectEditron
October 12, 2025 – Present
Editron - A browser-based development environment powered by WebContainers, Monaco Editor, and integrated AI. Build,run, and collaborate on full-stack projects without local setup.
View ProjectCultural Fit Analysis
The candidate's portfolio demonstrates a strong inclination towards personal projects, many of which involve innovative applications of technology (e.g., AI, web development, financial systems). This indicates a proactive and self-driven individual. The diversity of projects, from web development to ML and quantitative finance, suggests adaptability and a broad interest in technology. The current 'ML Developer Intern' role at Google for Education aligns well with the target role, indicating a potential good cultural fit for an organization focused on innovation and learning. However, the experience level is 0, which might indicate a very early career stage, potentially requiring more mentorship.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on diverse projects and an interest in practical application. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like logical reasoning, work attitude, stress handling, or team collaboration.