Sayan

Hey, its me SAYAN / @sa_yawwwn👋

Available for work

A curious (too much)Software Dev™ from the land of chai & chaos 🇮🇳

I make full-stack apps that look good, run fast, and sometimes crash for fun (kidding xD). On the front, I speak React & Tailwind. On the back? Spring Boot & Node.js :)

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  • TATA Consultancy Services (TCS)

    Developer

    Bangalore, India

    Supplier Collaboration

    Spring Boot
    PostgreSQL
    Azure DevOps CI/CD
    Azure Container Apps
    • Engineered a scalable recommendation engine with multi-attribute weighted scoring (configurable via YAML properties) that ranks 300+ supplier products in <200ms, improving procurement efficiency through automated I2S matching.
    • Implemented Redis caching with TTL for frequently accessed product catalog data, reducing database queries by 65% and improving average API response time by 50% (from 800ms to 400ms) for read-heavy endpoints.
    • Built a near real-time alert system using Spring Scheduler and JavaMailSender that monitors product catalog changes every 60 seconds and notifies 100+ buyers via email upon detecting I2S matching opportunities.
    • Achieved 80% unit test coverage using JUnit and Mockito, identifying and resolving 20+ critical edge cases to enhance system reliability.
    • Integrated Apache Kafka with Spring Boot microservices for asynchronous ERP data synchronization, designing separate topics (purchase-orders, invoices, product-catalog, item, GRN) with consumer groups enabling parallel processing across 3 services.
    • Standardized Azure DevOps CI/CD pipelines using reusable templates across 6+ microservices, combined with Jib containerization and integrated security scanning (Trivy, Semgrep) to streamline secure and automated deployments.

    Sales iAssist

    React.js
    Node.js
    Express.js
    Sequelize ORM
    MS SQL Server
    • Developed Sales iAssist, a full-stack web application built with React.js and Spring Boot, replacing manual Excel reporting and email-based updates with near real-time sales, backlog, and transaction tracking across multiple store locations.
    • Designed and implemented optimized RESTful APIs with query tuning and a Redis caching layer, supporting concurrent dashboard access with consistent sub-second response times.
    • Built interactive data visualizations using Recharts with server-side pagination and lazy loading, enabling store managers to analyze 100K+ daily transactions without performance degradation.
    • Automated daily and ad-hoc SQL checks, batch job monitoring, and peer system tracking, reducing manual effort by 20% and saving 15–20 hours per week for business and support teams.

still not sure? Check out my Projects

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wanna check out my Blogs?

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maybe something Fun? 👀

Weekly Schedule

Feb 15
2026
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Preparing for work tomorrow 🥲
The quick brown fox jumps over the lazy dog