Hello,
This is Sree Vardhan Reddy, I'm a Software Engineer.
Computer Science graduate from IIIT Kottayam (CGPA: 9.28) with production experience building and scaling enterprise SaaS platforms. Currently at DevRev, working on large-scale TypeScript migrations and frontend architecture.
constcoder={name:'Sree Vardhan Reddy',skills:['TypeScript', 'React', 'Python', 'Django', 'Docker', 'AWS', 'MongoDB', 'Git', 'CI/CD'],hardWorker:true,quickLearner:true,problemSolver:true,hireable:function() {return(this.hardWorker&&this.problemSolver&&this.skills.length>=5);};};About Me
I am a Software Engineer with a strong foundation in TypeScript, React, and large-scale monorepo architecture. At DevRev, I have shipped 60+ merged PRs across a multi-million line Nx monorepo, driving strict TypeScript adoption, removing dead code, and aligning API contracts across frontend and backend.
My experience spans full-stack development, CI/CD optimization, and data-driven systems. I have built sandboxed code executors, automated web scrapers, ETL pipelines, and AI-powered tools — always with an emphasis on type safety, performance, and maintainability.
I thrive on solving complex engineering problems at scale — from migrating widget systems across API boundaries to designing type guards that prevent runtime crashes for thousands of users.
Experience
4 Internships
Projects Completed
20+
Education
Indian Institute of Information Technology Kottayam
B.Tech in Computer Science and Engineering
Relevant Coursework:
Experience
Member of Technical Staff Intern
DevRev
- Fixed 30%+ of strict-mode TypeScript errors across 20+ libraries in an Nx monorepo; shipped 60+ merged PRs.
- Aligned API contracts with backend schemas across 3 repos (devrev-web, schemaregistry-client, gateway); added type guards and null-safe generics to prevent regressions.
- Removed dead code, deprecated feature flags, and unused casts across shared libraries; reduced bundle size.
- Built a Claude Code-powered automated PR review CI workflow with binary caching and batched comments, cutting review time from 81s to 63s.
- Currently driving the widget builder migration from data-sources to data-views API, involving Go backend migrations and frontend adapter rewrites.
Software Engineer Intern
AlgoUniversity (YC S21)
- Unified Crawl4AI scrapers + tagger; ingested ~2.5k problems from 100+ pages, cutting triage time ~80%.
- Dockerized services on EC2 with health checks + rolling restarts; observed 99%+ uptime over 30 days.
- Mentored 120+ students in full-stack development; 85%+ completed capstone projects on schedule.
Data Analyst Intern
University of Massachusetts
- Conducted data-driven program evaluation by analyzing 100+ survey responses.
- Applied t-tests and ANOVA for statistical analysis, improving accuracy by 25%.
- Used Google Sheets for organizing, analyzing, and visualizing data through 10+ interactive charts.
- Implemented Python preprocessing scripts to extract insights from 50+ responses.
Research Intern
NIT Trichy
- Architected a security analytics service with parsers and rule sets; promoted alerts API with 97% precision.
- Built an ETL pipeline with Python workers for 2M+ records; improved data quality checks and throughput by 30%.
- Optimized text services with cached indexes and batch jobs, reducing CPU time and latency by 20%.
- Built a KNN-based anomaly detector flagging 4 user-risk patterns; reduced false-positive alerts by 10%.
Skills & Technologies
Languages
Frameworks & Libraries
Back-End & APIs
AI & Machine Learning
Data & Analytics
Databases
Cloud & DevOps
Featured Projects
Here are some of my recent projects that showcase my skills and passion for creating innovative solutions.
Online Judge & AI Debugger
Engineered a sandboxed code executor with JWT auth, CPU/memory limits, and 5 verdict types (CE/RE/TLE). Built a Django REST API for problem management and submission dispatch with real-time React feedback. Composed an error diagnostics module with enriched logs and stack traces; cut user debug time by 60%.
Intelligent RAG Agent
Architected a multi-source RAG system to answer natural language queries from PDFs, websites, and raw text. Automated CI/CD (GitHub Actions) to AWS EC2 using Docker, cutting manual deployment effort by 90%. Built a ReAct agent (LangChain) with dynamic tool use through a RAG pipeline and live web API integration.
Smart AI Job Matcher
Trained a custom NLP model to extract key skills from resumes for accurate job matching. Delivered ranking endpoints returning 90% relevant results; surfaced 5-10 missing skills per applicant. Produced a config-driven ETL system for batch runs; combined validation jobs, improved throughput by 30%.
Underwater Fish Disease Detection
Built a Vision Transformer-based model to detect fish diseases from underwater videos with 90% accuracy, using OpenCV for fish region detection.
BookBridge: Book Exchange Platform
Designed and led the development of a book exchange platform with real-time chat using Django and SQL, integrating the Google Books API.
GuardianPulse: Family Location Insights
Developed a secure, real-time location-sharing mobile app for families using Kotlin, Google Login, and Firebase.
Achievements
LeetCode Rating
2,077 — Top 1.69%Showcasing strong algorithmic problem-solving skills across 500+ problems.
IICPC Contest Rank
Rank 565 / 47,000+Among over 47,000 global participants in the prestigious IICPC contest.
CodeChef Rating
4-Star — 1,827Earned through consistent participation in weekly contests.
Codeforces Specialist
Max: 1,545Achieved Specialist rank on Codeforces.
Project Lead
Team of 6Led a team to successfully complete the online book exchanging system 'BookBridge'.
Let's Connect
I'm always interested in new opportunities and collaborations. Feel free to reach out!