Full Stack Developer
Genpact
08.2022 - Current
- Role-Based Access Control: Revamped the user access control system by redesigning the RBAC schema, resulting in a 70% improvement in permission management efficiency and enabling scalable, fine-grained access control across multiple applications. Reduced data redundancy, improved query performance, and enhanced auditability by introducing a normalized, page-level permission model.
- Rebuilt MDM: Led the complete migration of MDM Dashboard from Vue.js to Svelte, resolving critical performance bottlenecks caused by memory leaks and reactivity issues in large data visualizations. Achieved over 50% improvement in page load times and significantly enhanced UI responsiveness, resulting in a smoother user experience, reduced error rates and leading to a measurable increase in user adoption and stakeholder satisfaction.
- High-Volume Data Ingestion & Upload Framework: Spearheaded the development and optimization of multiple bulk upload modules within the HCT platform, enabling efficient ingestion and processing of high-volume employee data. Achieved a seamless user experience with real-time validations, dynamic templates, and comprehensive job tracking — reducing manual data entry effort by over 70% and significantly improving data consistency across systems.
- GenAI Prompt Design / Enablement: Worked on prompt design and integration for GenAI-based solutions, enabling dynamic template handling and content extraction from structured files (CSV, XLSX, DOCX, PDF), laying the groundwork for future AI-driven automation.
- Data Pipeline & Backend Orchestration: Built scalable, event-driven data pipelines using AWS S3, Lambda, and SQS to process and transform large JSON/CSV files (100k+ records), enabling efficient upsertion into PostgreSQL and real-time job tracking for auditability. Reduced SQS-Lambda processing latency and optimized throughput by fine-tuning batch size, error handling, and stream control for high-volume employee demographic data.
