Jun 2023 – Present · 3 yrs · Mumbai, Maharashtra, India · On-site

• MCP AI Gateway: Developing AI Agent integration via custom MCP server, implementing prompts, responses, and advanced rate-limiting for scalable AI workflows.
• AI LLM Integration: Leveraged multiple LLMs, including OpenAI, Anthropic, and Hugging Face, for testing, debugging, and improving context-aware AI interactions.
• Middleware Caching & Rate Limiting Platform: Architected a high-performance middleware layer using Redis, Redlock, and Kafka, implementing rate-limiting and asynchronous messaging for improved system throughput.
• Performance Optimization: Enhanced system performance via memory optimization, request tracing, file compression, encryption/decryption, and JMeter load testing across multiple projects.
• Automated Reporting System: Built automated scheduling pipelines with Hangfire, PostgreSQL, cron jobs, integrating Prometheus and OpenSearch for monitoring, and WhatsApp alerts, reducing manual effort by ~80%.
• ICROCR: Automated health claim processing for handwritten/scanned documents, implementing Base64 encryption/decryption, data compression, and rigorous testing for operational excellence.
• TCS BaNCS Integration: Developed RESTful APIs and adopted layered DDD architecture in .NET microservices, migrating from monolithic to microservices, reducing downtime by 40% and increasing transaction speed by 25%.
• Testing & Reliability: Implemented unit and integration testing (MSTest/NUnit) across projects, ensuring high reliability, maintainability, and operational excellence.
• AI Tooling & Productivity: Built proprietary tools for secure querying, processing, and workflow automation, improving efficiency and reducing manual intervention in enterprise operations.
• Enterprise Impact: Across all projects, contributed to automation, scalability, security, and observability, demonstrating expertise in AI, DevOps, microservices, and high-performance backend systems.