const piyush = {
role: "Chief Technology Officer at Practers",
education: "B.Tech CCE, LNMIIT Jaipur",
cgpa: "7.52/10",
location: "Rupnagar, Punjab",
work: ["AI interview systems", "contest infra", "hiring dashboards", "secure OA"],
stack: ["Next.js 16", "React 19", "Fastify 5", "Prisma", "Supabase", "MongoDB", "Redis"],
infra: ["Google Cloud Run", "Docker", "BullMQ", "Judge0", "Cloudflare R2"],
coding: "740+ problems across LeetCode, Codeforces and GeeksForGeeks",
mindset: "Build fast. Debug deeply. Ship clean."
};|
Apr 2026 to Present Leading architecture for an AI native interview preparation and hiring platform built as a Turborepo monorepo with Next.js 16, React 19, TypeScript, Fastify 5, Prisma, Supabase, PostgreSQL, MongoDB, Redis, BullMQ and Socket.IO. Built resume aware AI mock interviews with authenticated WebSockets, Groq voice/text sessions, Gemini/OpenAI integrations, stage orchestration, code/canvas snapshots and rubric scored reports. Built secure coding, contest and hiring modules using Judge0, Redis/BullMQ queues, hidden tests, real time verdicts, ATS resume analysis, Monaco editor, Excalidraw scratchpads and OA proctoring. Deployed services on Google Cloud Run with Docker, Secret Manager, Cloudflare R2 style storage, Razorpay payments, Resend email and MSG91 verification. |
Aug 2025 to Dec 2025 Built scalable REST APIs for automated resume parsing using NLP based extraction, reducing manual screening effort by 35 percent across recruiter workflows. Developed AI recruitment workflows for candidate matching, ranking, scheduling automation, filtering, analytics and recruiter decision support. Implemented backend analytics for parsing accuracy, shortlist quality, recruiter activity and candidate pipeline movement. |
Verified from the private mockr-labs/practers repository insights. Across a large, multi developer, high infrastructure codebase, I authored the highest volume of code on the team.
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contributor by commits |
most on the team |
to main branch |
additions in one week |
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B.Tech in Communication and Computer Engineering 2024 to Expected 2028 CGPA: 7.52/10 Jaipur, Rajasthan |
Data Structures and Algorithms, Object Oriented Programming, DBMS, Operating Systems, Computer Networks, System Design, LLMs, AWS Bedrock and Multi Agent Systems. |
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AI native interview preparation and hiring platform with resume aware mock interviews, peer interviews, coding rounds, contests, secure OA, ATS analysis, proctoring and company hiring dashboards. Stack: Next.js 16, React 19, TypeScript, Fastify 5, Prisma, Supabase, PostgreSQL, MongoDB, Redis, BullMQ, Socket.IO, Judge0 Infra: Google Cloud Run, Docker, Cloud Build, Cloudflare R2, Vercel, Razorpay, Resend, MSG91 Links: Live |
Real time collaborative spreadsheet with Operational Transformation over WebSockets, persistent multi user state and reconnect safe synchronization. Stack: Next.js, Node.js, WebSockets, PostgreSQL Proof: under 100ms recalculation across 2,500+ cells |
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AI shopping assistant using AWS Bedrock and Llama 3 for search, recommendations, personalization, budget flows and generative UI. Stack: Next.js, FastAPI, MongoDB, AWS Bedrock, Llama 3 |
Web3 full stack project built around blockchain product UX and SKALE Network integration. Stack: Web3, SKALE Network, Full Stack |
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Decentralized voting and prediction style polling with smart contracts deployed on Arbitrum Sepolia. Stack: TypeScript, Solidity, Arbitrum, Web3 |
Ride sharing app for 100+ students with ride creation, seat booking, approvals, group chat and location based coordination. Stack: React Native, TypeScript, Supabase, Socket.IO Links: APK |
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Generative UI backend builder |
Tambo hackathon project demo |
SKALE Network project demo |
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questions solved |
questions solved |
questions solved |
LNMIIT |
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Cleared 3 competitive coding rounds |
Top 10 team |
Top 300 teams |
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