Srujan Chidarla

CODEDISCIPLINE

Warming up

Building strength

Booting systems

Balancing load

Routing models

Syncing signals

Ready to ship

← Portfolio

Srujan Chidarla

Software Engineer · System Design · Networks · AI Systems

srujanchidarla.uof@gmail.com · srujanchidarla.com · linkedin.com/in/srujan-chidarla · github.com/srujanchidarla

Summary

Software engineer with 3+ years at the intersection of system design, computer networks, and production AI. Operated Spring Boot microservices at 2M+ req/day and 99.9% uptime; cut hot-path P99 latency from ~250ms to ~50ms. Ships AI with real routing and failover — JobHuntOS (Chrome Web Store) and Neocortex (15 agents, 6-provider chain). MS CS coursework in TCP/IP, BGP/OSPF, distributed systems (GPA 4.0/4.0, Aug 2026). Open to relocate nationwide · STEM OPT (36 months).

Technical Skills

  • System Design & Networks: Microservices, distributed systems, latency trade-offs, backpressure & failover, TCP/IP, BGP/OSPF, load balancing, Socket.io, SSE
  • AI & LLM Systems: Multi-provider orchestration (Claude, Gemini, Groq), prompt pipelines, SSE streaming, agent architectures, graceful degradation, BYOK
  • Languages & Frameworks: Java, Spring Boot, Python, FastAPI, TypeScript/JavaScript, Node.js, Express, Next.js, React 19, C++
  • Data & Cloud: PostgreSQL, MySQL, MongoDB, Firebase, AWS, Docker, Kubernetes, CI/CD (GitHub Actions, Azure DevOps), Chrome MV3, Cisco Packet Tracer

Professional Experience

WalletGyde — Full-Stack Web Developer (Internship)

Dec 2024 – May 2025 · Denver, CO (Remote)
  • Shipped fintech APIs on Next.js + Supabase (PostgreSQL) with auth and validation (35% engagement ↑)
  • Improved transaction path by 40% via schema design, indexing, and query tuning
  • Raised mobile Lighthouse scores by 30% through API and frontend performance work

Cognizant Technology Solutions — Software Engineer

Mar 2021 – Apr 2024 · Hyderabad, India
  • Spring Boot microservices at 2M+ daily requests with 99.9% uptime for 500+ enterprise users
  • Reduced P99 latency from ~250ms to ~50ms on a congested service path (query + API hop optimization)
  • Cut SPA page-load times by 30%; integrated Azure DevOps APIs (20% productivity ↑)
  • Supported Docker and CI/CD across dev, staging, and production; design reviews and reliability practices

Selected Projects — Systems · Networks · AI

JobHuntOS — Multi-Model LLM System

Chrome Web Store · SSE · Claude / Gemini / Groq
  • Production LLM router with timeouts, failover, and streaming across 100+ ATS formats; BYOK privacy; ~2 min/application

Neocortex — Multi-Agent Life OS

In development · FastAPI · 6-provider failover
  • 15 domain agents, inter-agent coordination, SQLite persistence, safety kill switches, 37 backend test suites

CampfireChai — Real-Time + AI Coordination

Live · Socket.io · LLM fallbacks
  • WebSocket trip chat across 15+ metro hubs; Magic Paste AI drafting with multi-provider LLM fallbacks

AlgoChronicle — Event-Driven Publish Pipeline

Live · GitHub Actions → Firestore
  • Push-triggered ingest pipeline (C++/Java/Python) with zero manual logging and live streak dashboards

FitConnect — Booking System Design

Real-time scheduling architecture
  • Conflict-free venue/trainer booking design; 60% booking increase

Education

University of Fairfax — M.S. Computer Science · Aug 2024 – Aug 2026 (Expected) · GPA 4.0/4.0
Coursework: System Design · Distributed Systems · Computer Networks (TCP/IP, BGP/OSPF) · AI/ML Integration

VNR VJIET — B.Tech Information Technology · Aug 2018 – Aug 2021 · GPA 3.8/4.0 · Graduated with Honors

Certifications

AI: Prompt Engineering · Generative AI Fundamentals (Databricks) · Networks & Cloud: Cisco Packet Tracer · AWS Cloud Practitioner · Engineering: Learning Next.js · Google UX Design · Angular · Modern Java · React.js · HackerRank Problem Solving

Additional

GitHub: 41 repos · 303+ contributions/year · Pull Shark · Google Local Guide Level 9 · Multi-sport athlete · Open to relocate nationwide