AI Software Engineer with 5+ years of experience building and scaling production-grade backend and full-stack systems across consumer marketplaces, enterprise platforms, and regulated financial products.
Experience
2024 — Now
Los Angeles County, California, United States
Developed the customer-facing web app from scratch using React + Material UI with a Node.js (Express) backend, supporting end-to-end kitchen discovery and booking flows used by live food sellers.
Designed backend APIs in Node.js and Python with DynamoDB, handling kitchen availability, pricing
rules, and booking state while keeping response times under 300 ms for core flows.
Set up automated build and deployment using GitHub Actions + AWS, cutting manual release effort and reducing average deployment time from 30 minutes to under 10 minutes.
Implemented an AI-based kitchen matching flow using Python + LLM APIs, ranking kitchens by location, availability, and seller requirements, which reduced manual kitchen shortlisting by 40%.
Architected an early RAG prototype using Python, embeddings, and vector search to answer seller queries about kitchen rules and onboarding steps, lowering support follow-ups during onboarding by 25%.
2024 — 2024
Los Angeles County, California, United States
Designed Python-based backend services to ingest and normalize large-scale tax and financial documents, processing millions of records each filing season with validation rules aligned to compliance workflows.
Implemented LLM-driven classification and data extraction pipelines in Python, orchestrated through AWS Lambda and SQS, reducing manual review effort for tax operations teams by 32% during peak periods.
Developed an internal RAG service using Python, embeddings, and vector search on AWS-managed
storage, enabling fast retrieval of tax policy guidance, cutting analyst lookup time from minutes to seconds.
Integrated AI services with core Intuit platforms using REST APIs deployed on AWS (API Gateway,
ECS), enforcing IAM-based access controls, audit logging, and stable latency under seasonal traffic spikes.
Added production monitoring and safety fallbacks using CloudWatch metrics and Python-based
confidence checks, lowering incorrect AI-assisted suggestions by 18% during high-volume filings.
Ahmedabad, Gujarat, India
Delivered modular enterprise applications using Python (Django), React with TypeScript, and
PostgreSQL, supporting 100K+ monthly transactions while maintaining 99.95% uptime for client-facing
workflows.
Reworked release and environment workflows through Git-based CI/CD and AWS, cutting average
deployment time from 45 minutes to 7 minutes and reducing rollback incidents during peak releases.
Developed REST and GraphQL APIs using Django REST Framework and Node.js (Express) to replace
manual business operations, saving an estimated 5,000+ client labor hours annually.
Implemented a real-time logistics and shipment tracking system using Python, Flask, WebSockets, and
PostgreSQL, enabling live visibility across 15+ countries and lowering delivery delays by 42%.
Delivered executive reporting dashboards using React and Recharts backed by Django APIs, consolidating fragmented data sources and improving reporting accuracy from 68% to 99.6%.
Ahmedabad, Gujarat, India
Developed complex user-facing dashboards using React, JavaScript, and REST APIs, handling multi-step forms, role-based views, and client-side state that reduced user task completion time by 35%.
Implemented backend services in Node.js with Express to manage authentication, permissions, and
transactional workflows, supporting concurrent usage from 1,000+ active users without session conflicts.
Designed relational data models and query logic in PostgreSQL, optimizing joins and indexes that cut slow API response cases by 40% in production environments.
Integrated third-party services such as payment gateways, email notifications, and file uploads using Node.js, reducing manual operational steps for internal teams by over 50%.
Collaborated closely with product and QA teams to translate evolving requirements into shippable features, shipping weekly releases through Git-based workflows with fewer post-release fixes over time.
Education
2022 — 2024
California State University, Fullerton
Master's degree
2022 — 2024
2016 — 2020
Gujarat Technological University (GTU)
Bachelor of Engineering
2016 — 2020