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I'm Sai Vaibhav Gandi, a Union City-based software engineer focusing on full-stack development with 4+ years of backend ownership across fintech, payments, and enterprise platforms at Uber, Stripe, State Street, and TCS. I lead Python and Node.js service development end-to-end, including building a GenAI RAG indexing 15M+ documents, Kafka-driven pipelines, and AWS deployments. I enjoy shipping scalable systems and collaborating across product and operations teams to drive measurable impact. I'm equally passionate about frontend engineering, delivering production dashboards and real-time LLM interfaces with React and TypeScript that have reduced analyst resolution time and improved decision velocity. I thrive on resilient architectures, observability, and continuous learning to reduce latency and operational risk while delivering delightful user experiences.…I'm Sai Vaibhav Gandi, a Union City-based software engineer focusing on full-stack development with 4+ years of backend ownership across fintech, payments, and enterprise platforms at Uber, Stripe, State Street, and TCS. I lead Python and Node.js service development end-to-end, including building a GenAI RAG indexing 15M+ documents, Kafka-driven pipelines, and AWS deployments. I enjoy shipping scalable systems and collaborating across product and operations teams to drive measurable impact. I'm equally passionate about frontend engineering, delivering production dashboards and real-time LLM interfaces with React and TypeScript that have reduced analyst resolution time and improved decision velocity. I thrive on resilient architectures, observability, and continuous learning to reduce latency and operational risk while delivering delightful user experiences.

Sai Vaibhav Gandi

Full Stack Developer, Back-End Developer, Front-End Developer, +2

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I'm Sai Vaibhav Gandi, a Union City-based software engineer focusing on full-stack development with 4+ years of backend ownership across fintech, payments, and enterprise platforms at Uber, Stripe, State Street, and TCS. I lead Python and Node.js service development end-to-end, including building a GenAI RAG indexing 15M+ documents, Kafka-driven pipelines, and AWS deployments. I enjoy shipping scalable systems and collaborating across product and operations teams to drive measurable impact. I'm equally passionate about frontend engineering, delivering production dashboards and real-time LLM interfaces with React and TypeScript that have reduced analyst resolution time and improved decision velocity. I thrive on resilient architectures, observability, and continuous learning to reduce latency and operational risk while delivering delightful user experiences.…I'm Sai Vaibhav Gandi, a Union City-based software engineer focusing on full-stack development with 4+ years of backend ownership across fintech, payments, and enterprise platforms at Uber, Stripe, State Street, and TCS. I lead Python and Node.js service development end-to-end, including building a GenAI RAG indexing 15M+ documents, Kafka-driven pipelines, and AWS deployments. I enjoy shipping scalable systems and collaborating across product and operations teams to drive measurable impact. I'm equally passionate about frontend engineering, delivering production dashboards and real-time LLM interfaces with React and TypeScript that have reduced analyst resolution time and improved decision velocity. I thrive on resilient architectures, observability, and continuous learning to reduce latency and operational risk while delivering delightful user experiences.

Available to hire

I’m Sai Vaibhav Gandi, a Union City-based software engineer focusing on full-stack development with 4+ years of backend ownership across fintech, payments, and enterprise platforms at Uber, Stripe, State Street, and TCS. I lead Python and Node.js service development end-to-end, including building a GenAI RAG indexing 15M+ documents, Kafka-driven pipelines, and AWS deployments. I enjoy shipping scalable systems and collaborating across product and operations teams to drive measurable impact.

I’m equally passionate about frontend engineering, delivering production dashboards and real-time LLM interfaces with React and TypeScript that have reduced analyst resolution time and improved decision velocity. I thrive on resilient architectures, observability, and continuous learning to reduce latency and operational risk while delivering delightful user experiences.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Software Engineer – Risk & Operations Intelligence at Uber

February 1, 2025 - Present

Led a Retrieval-Augmented Generation (RAG) pipeline using Python, FastAPI, and OpenAI embeddings with Redis vector indexing to enable search across 15M+ internal policy and compliance documents, cutting analyst lookup time by 47%. Engineered Kafka and PostgreSQL ingestion pipelines handling 2.5M+ daily document updates, ensuring 5-minute freshness windows. Implemented hybrid semantic and keyword routing with reranking to improve answer relevance by 32%. Integrated streaming LLM responses into internal dashboards with React, TypeScript, and WebSockets, reducing decision turnaround time by 38%. Deployed containerized microservices on AWS EKS with autoscaling to sustain 4,000+ concurrent queries at 99.95% uptime. Established Datadog observability and custom health scoring for retrieval quality and LLM responses, reducing hallucination incidents by 29%.

Software Engineer Intern – Chargeback & Risk Platform at Stripe

August 1, 2024 - January 1, 2025

Delivered real-time fraud decision services in Node.js, Express, and MongoDB, processing 9M+ daily payment events with rule-based scoring achieving sub-300ms API latency. Architected Kafka-driven charge lifecycle processing with idempotent handling, decreasing reconciliation mismatches by 33%. Shipped an AI-assisted anomaly summarization feature using OpenAI embeddings and MongoDB vector indexing to auto-generate investigation notes, reducing analyst workload by 29%. Optimized MongoDB aggregations and indexing, dropping P95 latency from 480ms to 260ms during peak settlements. Deployed Node.js microservices on AWS ECS with autoscaling, sustaining 4,000+ concurrent transactions/sec at 99.98% availability.

Associate Software Engineer – Portfolio Analytics Platform at State Street India Private Limited

November 1, 2021 - July 1, 2022

Launched enterprise banking portal features across React and Node.js REST APIs, serving 30,000+ monthly users and improving transaction workflow completion rates by 23%. Authored Express-based backend services integrated with MongoDB for real-time account activity sync and reporting workflows, improving operational accuracy by 35%. Overhauled legacy JSP modules into modular React components, cutting frontend production defects by 28% and reducing average time-to-fix. Accelerated page performance through code splitting, lazy loading, and API payload optimization, bringing load time from 4.8s to 3.1s across high-traffic dashboards. Hardened JWT authentication and RBAC middleware across Node.js APIs, reducing unauthorized access incidents by 24%.

Assistant System Engineer – Digital Banking Modernization at Tata Consultancy Services

October 1, 2020 - November 1, 2021

Built banking web application features across React, JavaScript, and REST API integrations, supporting 30,000+ monthly users across account and transaction management workflows. Integrated Java Spring Boot backend services with Oracle DB for real-time account activity updates, improving reporting accuracy by 35% across operations teams. Refactored JSP-based UI modules into reusable React components, reducing frontend production defects by 28% and improving long-term code maintainability. Profiled client-side performance with code splitting, lazy loading, and state management tuning, cutting initial page load from 4.8s to 3.1s on high-traffic dashboards. Standardized API contracts and deployment validation workflows with QA and backend teams, accelerating release cycles by 27% while maintaining enterprise stability.

Software Developer – Payments Platform at Vivma Software Inc.

February 1, 2019 - September 1, 2020

Developed Node.js microservices for wallet onboarding and transaction authorization, handling 1.8M+ monthly transactions at sub-350ms response latency under peak partner traffic. Wired Kafka event-driven pipelines into MongoDB persistence layers with idempotent retry handling, reducing reconciliation mismatches by 29%. Structured MongoDB aggregation pipelines and batch settlement processors, improving settlement report accuracy by 34%. Set up Docker-based CI/CD workflows with Jenkins, enabling automated builds and environment parity, reducing release failures by 26%.