Pranav Pachpande

About

Backend engineer with hands-on ownership of Spring Boot microservice deployments in Freddie Mac's mortgage workflow domain, including measurable gains in reliability and MTTR. Brings strong production debugging skills around distributed transaction pipelines and has also built a full-stack AI chatbot project using React, Express, and Google Gemini API.

Key Strengths

• Owned end-to-end deployment of mortgage workflow microservices
• Improved system reliability by 30%
• Reduced MTTR by 20%
• Strong cross-functional stakeholder communication across product, frontend, QA, and operations
• Production incident debugging in distributed, high-concurrency systems
• Implemented idempotent processing to eliminate duplicate transactions
• Built resilient backend workflows with retries, validation, and dead-letter handling
• Experience integrating AI chatbot functionality with Gemini API in a scalable full-stack app
• Designs for post-launch stabilization and observability
• Built and deployed a live AI-powered chat application end-to-end
• Strong backend and distributed systems foundation
• Designs AI workflows with guardrails, fallback logic, and observability
• Production-minded approach to reliability and failure handling
• Experience with authenticated user-facing web applications
• Applies schema validation and data normalization at service boundaries
• Uses idempotency and state checks to handle retries and duplicate events
• Transparent about scope and production experience

Experience

Education

Skills

Languages