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:electron:
Building Spring Boot & React projects
:electron:
Building Spring Boot & React projects
  • NIT Rourkela
  • Rourkela, Odisha

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AyushSinha2603/README.md

Ayush Sinha

Software Engineer | Backend & System Design Enthusiast | NIT Rourkela


๐Ÿ‘‹ About

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

  • ๐Ÿ’ป Core Stack: Java, Spring Boot, React, Next.js
  • ๐ŸŽ“ Education: B.Tech in Civil Engineering @ NIT Rourkela ('27)
  • ๐ŸŽ๏ธ Off-screen: Avid F1 fan, AoE2 strategist, amateur photographer, and speed chess enthusiast.

๐ŸŒ Open Source Contributions

  • lichess-org/chess-openings โ€“ 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 โ€“ Implemented a "Both" platform option to aggregate player statistics from Lichess and Chess.com simultaneously. Maintained a distinct fork featuring a Neobrutalist UI overhaul and dynamic PNG generation for downloadable FUT-style stat cards.
  • IAmTomShaw/f1-race-replay โ€“ 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.

๐Ÿš€ Projects

๐Ÿ“ง MailSense AI

  • 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.
  • Machine learning system for predicting accident severity, trained and evaluated on a robust dataset of 300,000+ real-world traffic records.
  • Performed data cleaning, feature engineering, exploratory data analysis, and model evaluation using Python and Pandas.
  • Analyzed factors influencing accident severity and developed predictive models for risk assessment.
  • Developed and deployed the official landing platform for Sleepyhead Studios 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.

โ™Ÿ๏ธ Opening Forge

  • 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.

๐Ÿ› ๏ธ Technical Skills

  • Languages: Java, JavaScript, Typescript, Python, SQL
  • Backend: Spring Boot, Node.js, REST APIs
  • Frontend: React, Next.js, Tailwind CSS
  • Databases & Tools: PostgreSQL, MongoDB, Git, Postman
  • CS Fundamentals: Data Structures & Algorithms (DSA), Object-Oriented Programming (OOPs), System Design

๐Ÿ“Š GitHub Activity

Ayush Sinha's GitHub Streak


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  1. sh-website sh-website Public

    ๐Ÿš€ Official website for indie team SleepyHead Studios. Built with Next.js & Framer Motion to showcase our games, news, and team.

    JavaScript 1 1

  2. MailSense-AI MailSense-AI Public

    A smart backend application for email management. This project leverages Spring AI and the Gemini API to provide automated email summarization, sentiment analysis, and context-aware response generaโ€ฆ

    JavaScript 1

  3. project-rosen project-rosen Public

    A premium UI and FUT stat-card generator for your "Rosen Score." Built on fitztrevโ€™s core engine, this cross-platform tracker scans your Lichess and Chess.com games for Eric Rosen-inspired achievemโ€ฆ

    TypeScript 7

  4. Traffic-Accident-Severity-Prediction Traffic-Accident-Severity-Prediction Public

    Forked from suchismitab0511/Traffic-Accident-Severity-Prediction

    A machine learning pipeline to predict traffic accident severity. Uses SMOTE and Class Weights to tackle severe dataset imbalance with XGBoost and Neural Networks.

    Jupyter Notebook 1

  5. Odd-Even-Policy Odd-Even-Policy Public

    A Python project for data analysis, it analyzes the impact of the Odd-Even traffic policy on air pollution during 2016 in Delhi. It processes and visualizes pollution data, demonstrating skills in โ€ฆ

    Python 1

  6. opening-forge opening-forge Public

    Open-source Chess Opening Intelligence Platform. Analyze openings, discover your playstyle, build repertoires, explore opening analytics, and understand the ideas behind every opening.

    Python 3 2