Senior Backend & AI Systems Engineer | Python (FastAPI/Django) | Agentic AI

Led backend modernization of a SaaS platform serving 15M+ users, migrating from PHP to Python on Azure. | Designed event-driven data propagation using Azure Service Bus, Azure Functions, and webhooks. | Reduced downtime incidents by 40% and response time by 25% by establishing Grafana/Loki observability. | Domain: E-commerce / Retail Technology

Implemented Model Context Protocol (MCP) in Oracle AI Optimizer, including a vector-search MCP server. | Engineered Python APIs and low-latency retrieval integrations with Oracle AI Vector Search for RAG workflows. | Domains: Open Source Software, D2C / E-commerce

Engineered backend capabilities for a Django/DRF cloud-management platform spanning AWS, Azure, GCP, OpenStack, and VMware. | Architected multi-threaded processing and Redis caching, improving resource retrieval and API performance. | Implemented cost-optimization workflows contributing to ~$3,000/month in customer savings. | Domains: Enterprise IT, Cloud Computing, Cloud Infrastructure

Automated a multi-workbook Excel pipeline using Python and VB, reducing processing time by ~90% (from hours to minutes). | Reduced large-scale analytics runtime by 40% using PySpark and Amazon Redshift. | Domains: Hospitality, Healthcare, BFSI

Built backend services for a real-time mobile platform supporting 50,000+ users using Django, Redis, Celery, and RabbitMQ. | Implemented WebSocket-based real-time communication for chat and payment workflows. | Domains: D2C/E-commerce, Logistics, Online Bidding, Ecommerce/C2C, Creator Economy

Built multi-tenant hospital inventory systems using Python, Django, DRF, and PostgreSQL. | Developed a document-management application featuring OCR and Razorpay integration. | Domains: Healthcare, Social Media, Cloud Storage, EdTech