# Vaibhav Monpara

> AI Software Engineer | Backend & Full-Stack Specialist | Python, Node.js, React | GenAI (LLMs, RAG), AWS | Scalable, Production-Grade Systems

Location: San Francisco, California, United States
Profile: https://flows.cv/vaibhav

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. Strong background in Python and Node.js backend development, API design, data modeling, and cloud-native architectures on AWS, supporting high-traffic, latency-sensitive applications.

Hands-on experience delivering GenAI solutions in real production environments, including LLM-based classification and extraction pipelines, Retrieval-Augmented Generation (RAG) systems, and AI-assisted decision workflows. Proven ability to integrate AI capabilities into existing business processes with a focus on reliability, safety checks, monitoring, and measurable operational impact.

Experienced in building React and TypeScript frontends alongside scalable backend services using PostgreSQL, DynamoDB, and message-driven architectures. Regularly work with CI/CD automation, containerization, and serverless deployments to improve release velocity, system stability, and developer feedback loops.

Known for strong ownership and cross-functional collaboration—working closely with product, operations, and compliance teams to translate complex requirements into resilient, maintainable software. Passionate about designing scalable systems, applying AI pragmatically, and shipping high-quality solutions that drive real business outcomes.

## Work Experience
### Software Engineer @ AirKitchenz
Jan 2024 – Present | 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%.

### AI Backend Engineer @ Intuit
Jan 2024 – Jan 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.

### Software Engineer @ Midocean Technologies Pvt Ltd
Jan 2020 – Jan 2022 | 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%.

### Full-stack Developer @ INFINITE INFOLAB
Jan 2018 – Jan 2020 | 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
### Master's degree in Computer Science
California State University, Fullerton
Jan 2022 – Jan 2024

### Bachelor of Engineering in Computer Science
Gujarat Technological University (GTU)
Jan 2016 – Jan 2020


## Contact & Social
- LinkedIn: https://linkedin.com/in/vaibhav-monpara

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Source: https://flows.cv/vaibhav
JSON Resume: https://flows.cv/vaibhav/resume.json
Last updated: 2026-03-20