Computer Science student at Scaler School of Technology, Bangalore.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ChatWithPDF
May 23, 2026 – Present
AI-powered PDF chatbot that uses FastAPI, Next.js, LangGraph, ChromaDB, and Google Gemini to upload, index, and chat with PDFs through a context-aware RAG assistant.
View Projectlexguard
May 17, 2026 – Present
AI-powered contract intelligence. Upload a PDF or DOCX, get plain-English risk analysis of every clause with red flags, real-world impact, and negotiation tips. Built with FastAPI, Gemini, Next.js 14, and Tailwind.
View Projectrecruit-env
April 3, 2026 – Present
An OpenEnv-compliant RL environment that simulates candidate pipeline triage, where an agent reviews synthetic developer profiles across GitHub, LeetCode, Kaggle, and resume signals to make shortlisting decisions under a step budget. Built for the OpenEnv Hackathon by Meta x Hugging Face.
View Projectinsurance-claim-env
March 27, 2026 – Present
An OpenEnv environment simulating insurance claim adjudication the high-stakes, document-heavy workflow where a human adjudicator reviews a claim submission against a policy document and decides: approve, deny, or escalate, along with a payout amount and justification.
View Projectpr-review-bot
March 19, 2026 – Present
A GitHub App that automatically reviews pull requests using Google Gemini AI. When a PR is opened, synchronised, or reopened, the bot fetches the diff, sends it to Gemini for analysis, and posts a structured code review comment.
View Projectsupermemory
April 16, 2024 – Present
Build your own second brain with supermemory. It's a ChatGPT for your bookmarks. Import tweets or save websites and content using the chrome extension.
View ProjectCultural Fit Analysis
The candidate's portfolio of personal projects, many involving cutting-edge AI technologies and full-stack development, suggests a strong drive for innovation and continuous learning, which aligns well with a dynamic, tech-forward culture. The breadth of technologies used (TypeScript, Python, Next.js, FastAPI, Docker) indicates versatility. The focus on building practical applications (e.g., 'supermemory', 'ChatWithPDF', 'lexguard') demonstrates a product-oriented mindset. The candidate's experience level is not explicitly stated, but the complexity of projects suggests a strong foundational understanding and ability to self-learn.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-directed individual, capable of taking complex ideas from conception to implementation. The diversity of projects suggests adaptability and a problem-solving mindset. However, without direct interaction or psychometric test results, specific soft skills like teamwork, communication under pressure, or leadership cannot be definitively assessed.