Oct 2021 – Jun 2025 · 3 yrs 8 mos · Hybrid

• Architected an AI-driven validation system (Bod-hi AI Service) automating asset metadata compliance checks for 5,000+ assets monthly with 98% precision and eliminating 30+ hours of weekly manual review.
• Built GCR Domain Service using Java, Springboot and PostgreSQL, managing CRUD operations across four micro-modules; implemented B-tree indexing and asynchronous batch handlers, boosting query performance by 35%.
• Refactored event routing logic (Content Event Manager) using Azure Event Hub for 15+ event types, reducing delivery latency by 40% and increasing throughput by 25%.
• Overhauled metadata batch storage system using parallel write strategies and chunked data serialization, accelerating bulk write operations by 45% and reducing Azure Blob storage costs by 18%.
• Spearheaded the end-to-end development of an automated fuel rewards system (INGO Free Liters) for Denmark/Sweden, boosting customer acquisition by 15% and revenue by 20%.
• Integrated Lingo-Hub with CI/CD pipelines for automatic translation updates and implemented i18n libraries (react-i18next) across mobile applications, leading to a 30% growth in global user engagement.
• Designed and streamlined a robust microservices framework (Partner Collaboration Hub) using Java Spring Boot, achieving 99.99% system reliability and improving analytics efficiency by 30% for 200+ retail partners.
• Led development of a shared UI library of 200+ components using Storybook and integrated into the design system, enabling cross-team collaboration, and reducing design-to-development cycle time by 35%.
• Scaled deployment workflows using Helm charts and Kubernetes Operators for 20+ microservices; achieved a 40–50% reduction in deployment time and improved system resilience via auto-scaling/self-healing configurations.

Jun 2021 – Oct 2021 · 4 mos · Hybrid

• Revamped REST API endpoints by implementing server-side pagination, efficient indexing, and query caching using Redis, resulting in a 30–50% improvement in data-intensive operations.
• Pioneered higher-order components and custom hooks in React architecture, enhancing reusability and reducing front-end feature delivery time by 40%.
• Optimized Marriott web page performance using Blue Triangle analytics, reducing load times by 20%, increasing speed scores by 20+ points, and lowering bounce rates by 10%.
• Accelerated data access velocity by 98% in an integration pipeline by reducing query execution time from 1 minute to 10 seconds through query optimization.
• Enhanced accessibility by implementing WCAG 2.1 compliance (text scaling, contrast optimization), improving metrics by 30% and user engagement by 40%.

Mar 2020 – Apr 2021 · 1 yr 1 mo · Warangal, Telangana, India · Hybrid

• Developed a Python-based simulation tool implementing the Lattice Boltzmann Method (LBM) to model fluid flow around a cylindrical obstacle with over 95% alignment to theoretical predictions.
• Numerically solved the Navier–Stokes equations, translating advanced fluid dynamics models into efficient Python algorithms.
• Ran 50+ simulations across a wide Reynolds number range to analyze laminar flow transition and vortex shedding behavior.
• Optimized matrix operations with NumPy, reducing simulation runtime by 30% and enabling scalability to higher-resolution domains.
• Visualized fluid dynamics patterns using Matplotlib, achieving less than 5% deviation from benchmark results in laminar regimes.
• Gained hands-on expertise in scientific computing, computational physics, numerical methods, and algorithm optimization.