4 entries
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Summer Intern — VLED Lab, IIT Ropar
- Built PippaQ, a semantic Q&A/FAQ platform with role-based access, a QP reputation system, and RAG-based duplicate detection via Qdrant Cloud, working across backend (Express, MongoDB) and frontend (React) as part of a 5-member sub-team.
- Diagnosed a broken error-handling middleware causing every API endpoint to return 500 errors, fixed it, and shipped the fix via pull request to restore full API functionality.
- Co-developed Spandan v0.8.0, a real-time classroom polling system, designing an event-driven synchronization layer with Socket.IO for concurrent users; implemented role-based auth, Mongoose schema design, and Whisper-based audio transcription for AI-driven question generation.
- Debugged production-level concurrency issues and applied performance analysis to improve system reliability under concurrent load.
May 2026 – Present -
Core Contributor & Member — ArchScope
- ArchScope core contributor and member — see the project's GitHub.
2025 -
Software Engineering Trainee — Excellence Technology
- Designed and implemented full-stack CRUD applications applying software design and data structure principles across MongoDB, Express.js, React.js, and Node.js; gained hands-on REST API and data-modelling experience.
Jun 2025 – Jul 2025 -
B.Tech, Computer Science & Engineering — IKGPTU Jalandhar
- Coursework: Data Structures & Algorithms, Object-Oriented Programming, Operating Systems, Database Management Systems, Computer Networks, Machine Learning.
2023 – 2027
3 entries
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LatencyLens — API Latency Benchmarking
- Built a full-stack latency-benchmarking tool, separating the app into independent frontend and backend services connected via a REST API.
- Designed a background job engine that executes, measures, and aggregates up to 10,000 concurrent HTTP requests per run, computing p50/p90/p95/p99 latency percentiles with under 5ms of instrumentation overhead per request.
- Implemented a layered (Clean Architecture) codebase across 4 core modules, with 12+ REST endpoints, real-time run progress via Server-Sent Events, and MongoDB-backed historical trend tracking.
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Resume Roaster — AI Resume ATS Checker
- Built a full-stack MERN application that lets users upload, analyze, and optimize resumes against ATS standards, deployed with a decoupled frontend (Vercel) and backend (Render).
- Engineered an AI-scoring pipeline that parses, scores, and rewrites resume content using Gemini, matching resumes against pasted job descriptions to surface keyword gaps, formatting issues, and quantified bullet rewrites with a 0–100 ATS score.
- Implemented JWT-based authentication, version history, and diff tracking across 7+ REST endpoints, enabling users to compare resume revisions and measure ATS score improvement across iterations.
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AI-Powered "Zero-Ops" E-Commerce Builder
- Built a full-stack MERN blogging platform with role-based access control, implementing a three-tier permission system (Reader/Writer/Admin) with JWT authentication and Firebase OAuth, deployed across Vercel and Render.
- Eliminated manual database intervention for user permission changes — 100% of role upgrades now handled in-app — by designing a self-service request/approval workflow for writer and admin access.
- Resolved cross-domain session persistence issues by debugging and reconfiguring cookie SameSite/Secure settings for a split Vercel/Render deployment.
| Programming Languages | Java, JavaScript, Python |
| Backend | Node.js, Express.js, REST APIs |
| Databases | MySQL, PostgreSQL, MongoDB, Database Optimization |
| Cloud & DevOps | AWS (EC2, S3, Lambda), GCP, Docker, Kubernetes |
| Software Development | Agile SDLC, Testing, Debugging, Deployment, Documentation |