Ayush Sinha AyushSinha2603

Ayush Sinha

Software Engineer | Backend & System Design Enthusiast | NIT Rourkela

Focused on building scalable web applications and optimizing backend systems. Passionate about modern architecture, clean code, and performance.

💻 Core Stack: Java, Spring Boot, React, Next.js
🎓 Education: B.Tech in Civil Engineering @ NIT Rourkela ('27)
♟️ Leadership: President of the Knights Chess Club, NIT Rourkela's official chess society.
🏎️ Off-screen: Avid F1 fan, AoE2 strategist, amateur photographer, and speed chess enthusiast.

lichess-org/chess-openings – Contributed 3 merged pull requests improving opening classification and transposition mapping for Lichess, one of the largest open-source chess platforms.
fitztrev/rosen-score & Project Rosen – Implemented a "Both" platform option to aggregate player statistics from Lichess and Chess.com simultaneously. Maintained a distinct fork featuring a UI overhaul and dynamic PNG generation for downloadable FUT-style stat cards.
IAmTomShaw/f1-race-replay – Improved project documentation by adding a first-run notice detailing FastF1 cache generation and initial telemetry data loading expectations, streamlining the setup process for new users.

High-performance, containerized rate-limiting microservice built with Spring Boot to manage API traffic and prevent abuse.
Implemented the Token Bucket algorithm via Redis to ensure sub-millisecond latency for traffic evaluation across distributed nodes.
Decoupled the analytics workload by streaming audit logs asynchronously to Apache Kafka, maintaining a strictly non-blocking critical request path.
Orchestrated a 6-container Docker network featuring PostgreSQL for tier management and a Prometheus/Grafana pipeline for real-time observability.

AI-powered email assistant integrating Spring Boot, React, and the Gemini API.
Designed a layered backend architecture focused on secure email processing, achieving sub-500ms API response times across 100+ concurrent requests.
Implemented REST APIs for workflow automation, successfully parsing and processing 40+ emails during system evaluation.

Developed and deployed the official landing platform for an indie game development studio using Next.js 14, React 19, Framer Motion, and Lenis for smooth scrolling.
Leveraged Next.js Server Components to optimize frontend rendering performance, building dynamic game showcases and interactive news timelines.
Configured custom domains, managed DNS routing, and continuously optimized UI/UX to support the studio's growing online presence.

Chess opening analysis system built for structured representation of complex move sequences and variations.
Engineered an optimized data model recognizing over 3,700 unique openings by integrating the complete Lichess ECO dataset.
Designed system workflows for automated opening classification, FEN-indexed position generation, and engine evaluation processing.