Hi, I'm
VEDANTCHIDGOPKAR
Production systems built for reliability: payment workflows, AI support agents, cloud infrastructure, and full-stack tools designed to hold up in the real world.
About Me
Building dependable software for products that need to move fast without breaking trust.
Based in San Jose with a Master's in Computer Science, I work across backend engineering, applied AI, cloud infrastructure, and full-stack development. My experience spans fintech platforms, AI support agents that automate repetitive operations, and customer-facing products where performance and reliability matter every day.
The common thread is practical engineering: taking complex requirements, shaping them into clear systems, and shipping software that teams can trust in production. Always open to strong engineering teams, meaningful product problems, and conversations that start with an interesting idea.
4+
Years Experience
4
Companies Worked
15+
Projects Delivered
20+
Technologies
Experience
Production work across backend, AI, cloud, and frontend systems, with a focus on reliability and scale.
Software Engineer II
Apr 2025 - Present
San Jose, CA
- ›Built Java/Spring Boot repayment microservices on Oracle and GCP with Redis caching, processing 10M+ daily transactions across 16 products in 8 countries with exactly-once execution guarantees.
- ›Delivered end-to-end Spring Batch reconciliation over Kafka, matching daily repayment event counts against Fineract SOR totals via COB events to detect silent data loss and guarantee per-product data integrity.
- ›Engineered idempotent request handling with fingerprinting, audit-trail replay, and automated failure recovery, eliminating duplicate-payment incidents across distributed repayment services.
- ›Shipped real-time data pipeline enriching 500K+ repayment events with risk signals to power fraud detection and trigger automated payment holds via REST APIs, improving model recall by ~15%.
- ›Owned on-call rotation, ran canary deployments via Harness with Docker, monitored with Datadog and Splunk, and root-caused live incidents using BigQuery to ship fixes across multiple repayment services
AI Engineer
Jul 2024 - Apr 2025
Sunnyvale, CA
- ›Architected production AI support agent in Python with LangChain, LangGraph, and MCP-based tool calling, integrating telemetry and internal RESTful APIs to automate 30% of repetitive support workflows on a multi-tenant CMMS platform.
- ›Designed RAG pipeline with ChromaDB, OpenAI embeddings, and Pandas/NumPy preprocessing, implementing document chunking and metadata filtering to lift retrieval accuracy by 60% for technician troubleshooting.
- ›Deployed quantized local LLM with PyTorch and Hugging Face Transformers on NVIDIA Jetson Orin Nano, enabling sub-second edge inference for privacy-sensitive operations and removing external AI API dependency.
- ›Cut Azure infrastructure spend by 20% and deployment time by 60% through Terraform based IaC, GitHub Actions optimization, and caching high volume read paths with Redis.
Software Engineer
Aug 2023 - Jun 2024
San Jose, CA
- ›Launched full-stack customer portal features using Next.js, TypeScript, and GraphQL, reducing client-side API traffic by 30% through typed data fetching and batched backend requests.
- ›Hardened Spring Boot microservices with Spring Security, enforcing OAuth 2.0 authorization with JWT bearer tokens and role-based access control across distributed services.
- ›Consolidated containerized applications on AWS EC2 via Docker, standardizing production and staging environments to eliminate configuration drift in deployments.
- ›Optimized PostgreSQL query plans and MongoDB aggregation indexes, reducing transaction latency by 35%.
Software Engineer
June 2019 - Jul 2021
Pune, India
- ›Developed responsive frontends in React, HTML, and CSS with reusable component libraries, delivering role-based portal experiences for 200+ business users.
- ›Implemented Node.js and Express.js REST services, owning service-layer logic, schema migrations, and end-to-end production support.
- ›Refactored MySQL schemas with targeted indexing and query optimization, cutting dashboard load times by 50%.
- ›Automated Jenkins and Kubernetes CI/CD pipelines with integrated test suites, shortening release cycle time by 40%.
Engineering Toolkit
The tools and platforms I use to build resilient services, AI workflows, and fast product experiences.
Languages
Core programming languages I use for production services, AI workflows, and frontend delivery.
Academics
Knowledge that compounds into sharper engineering judgment, stronger fundamentals, and better systems thinking.
M.S. Computer Science
Aug 2021 - May 2023
West Haven, CT
B.E. Computer Engineering
Aug 2016 - May 2020
Pune, India
Available for backend, AI, cloud, and full-stack roles
Let's build what lasts.
Based in San Jose, CA and open to engineering opportunities, product-minded teams, and conversations around scalable systems, applied AI, and cloud platforms.
Email copied to clipboard
© 2026 Vedant Chidgopkar · Built with ❤️ and a suspicious amount of ☕