About
I build backend systems that hold up under real use.
- Software engineering student at VIT Chennai
- Backend is my main focus: APIs, databases and system design
- 2x national semi-finalist: Google Big Code, Flipkart GRiD
Experience
Backend Engineering Intern
Sep 2026 - Nov 2026
AgroStack · Hybrid
- Built a REST API processing 10,000+ sensor readings with sub-200ms ingestion latency
- Created a time-series PostgreSQL schema with sub-100ms query performance
- Implemented the Repository Pattern separating business logic from Prisma ORM operations
Education
M.Tech Integrated in Software Engineering
Jul 2024 - May 2029
Vellore Institute of Technology (VIT) · Chennai, Tamil Nadu
CGPA: 9.29 / 10
- Specialization in systems design and full-stack development
- Ranked 8th overall in the department
- Coursework: Data Structures, Operating Systems, Networks, Software Architecture
Projects
AI / Full Stack
Analyzes PDF resumes against job descriptions, computes ATS match scores, identifies skill gaps, and generates optimized resume variants with Gemini.
- Gemini integration with structured prompting, schema validation, and JSON-based resume analysis
- ATS scoring, skill-gap detection, and context-aware resume improvements
- Puppeteer-based A4 PDF generation from AI-generated HTML/CSS templates with analytics and reports stored in MongoDB
Backend / Systems
High-throughput URL shortener designed to eliminate redirect latency bottlenecks under heavy concurrent load using distributed caching and asynchronous workers.
- Redis cache-aside pattern reducing p99 redirect latency from 1.2s to 130ms with 99.9% cache hit rate under 200 concurrent users
- B-tree-indexed PostgreSQL short-code lookups sustaining 2,500+ requests/sec under load testing
- BullMQ and Redis background workers removing synchronous DB writes from the redirect path with exponential backoff
- 7-character Base62 short codes with PostgreSQL unique constraints and retry-based collision handling
AI / LLM
RAG system for natural-language Q&A over YouTube videos and local media using transcript embeddings.
- Video ingestion, audio extraction, and transcription with yt-dlp, FFmpeg, and Whisper
- Audio/transcript chunking and embedding pipeline for long-form video processing
- Semantic retrieval with vector embeddings and MMR to diversify context and reduce redundant results
Skills
Languages
Backend
Frontend
Databases
DevOps & Cloud
Testing
Achievements
Google Big Code 2026 · Semi-Finalist
2026
- Advanced to the semi-finals among a large national participant pool
- Shortlisted as one of 1,500 semi-finalists nationally
Semi-Finalist · Top 1,500 participants
Flipkart GRiD 8.0 · Semi-Finalist
2025
Flipkart
- Qualified for Round 3 in India's premier national-level engineering competition
- Placed in the top 0.76% of all participants
Top 0.76% nationally · Round 3 qualifier
Best Overall Project Award · SLIM AI
2025
Saveetha University (SIMATS)
- Awarded Best Overall Project for SLIM AI
- Recognized for technical innovation and real-world applicability
Best Overall Project
Gravito Hacks · 4th Place
2025
Gravito Hacks
- Built a smart lake monitoring solution using IoT and data analytics
- Secured 4th place among 70+ competing teams
4th place · 70+ teams
Academic Excellence · Department Rank 8
2024–25
VIT Chennai
- Ranked 8th overall in the Software Engineering department
- Achieved a CGPA of 9.29/10
Rank 8 in department · CGPA 9.29









