Software Engineer (Contract) at Quadric IT

Engineered real-time API integrations using Python/Java backend services to automatically sync lead status updates across external systems, eliminating manual sales-agent polling, reducing response latency by 40%, and securing access through OAuth 2.0 and RBAC. Built a Kafka-powered real-time lead tracking dashboard processing 10K+ lead updates, providing sales teams live visibility into pipeline movement, status changes, and operational follow-ups. Re-architected a monolithic application into cloud-native microservices behind load balancers with auto-scaling, using immutable image builds with Packer, reducing deployment time by 40% and improving horizontal scalability under variable traffic. Implemented distributed tracing with traceId/correlationId across services, improving root-cause analysis and reducing production debugging time by 30% for cross-service incidents.

Software Engineer at Physis Investment

Built an AI-powered ESG research chatbot using Python, FastAPI, OpenAI APIs, vector embeddings, and RAG, enabling investors to query sustainability insights across 170M+ data points and 14K+ companies. Designed a Kafka-backed feedback ingestion pipeline using asynchronous producers and consumer groups to capture chatbot evaluations, support response-to-inference traceability, and improve model iteration cycles. Developed real-time data processing workflows to retrieve ESG metrics such as emissions, workforce diversity, sustainability indicators, and company-level impact data for investor-facing decision support. Automated build, test, and deployment workflows using Docker and GitHub Actions, cutting release cycles by 40% and reducing manual deployment errors across backend services. Integrated Stripe subscription APIs to gate premium access to expanded ESG datasets, supporting monetization of AI/data features and contributing to a 30% increase in subscription revenue.