Hi, I am Vinita Jain

Software Engineer,Full-Stack Developer,Distributed Systems Builder

Name: Vinita Jain

Location: Sunnyvale, CA

Email: vinitajain319@gmail.com

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About me

I am a Software Engineer with experience in building scalable enterprise systems that deliver measurable business impact—from AI-driven platforms to customer-facing products used by millions.

Currently, I work at c3.ai, where I led the development of ML-driven demand forecasting and inventory optimization applications for enterprise clients. Recently, I built an ML-driven solution that contributed to multi-million dollar savings for Nucor Steel. I led the end-to-end development using Python, Postgres, Cassandra for backend, high volume data ETL pipelines, ML Forecasting and Optimization prediction Integration and custom built frontend with on demand optimization numbers. I have extensive experience in full-stack applications, with a primary focus on backend development.

Previously, I worked as a Software Engineer at Flipkart, an e-commerce platform serving millions of users. I developed complex frontend components for Flipkart's cross-platform app using React, React Native, TypeScript, and Redux.

I began my career at eQ Technologic, where I contributed to building their core low-code Data Integration and Migration platform.

I hold a Master's degree in Information Systems and a Bachelor's degree in Computer Science Engineering. At heart, I have deep interest in building distributed systems used by millions that create real-world impact.

EDUCATION

Jan 2024 - Dec 2024

MS in Information Systems

University of Utah

Salt Lake City, UT
GPA: 3.95/4 | Outstanding Grad Honor

Relevant Coursework: Database theory and design, data engineering, web apps, data warehousing, cloud computing, advanced SQL, system analysis and design, data visualization

June 2015 - May 2019

Bachelor of Engineering in Computer Science

University of Pune

Pune, India
GPA: 3.73/4

Relevant Coursework: Data structures and algorithms, machine learning, artificial intelligence, database development, software engineering and project management, high performance computing

Experience

  • Jan 2025 - Apr 2026

    Software Engineer

    C3.ai

    California, USA
    • Owned end-to-end delivery of an enterprise-scale Demand Forecasting & Inventory Optimization platform for Nucor, replacing manual Excel workflows with an ML-driven system; drove ~$300K annual savings, 3% service level improvement, and $7.1M incremental revenue, contributing to a $26M contract expansion.
    • Built and maintained backend APIs and data pipelines for high-volume (50M+ records) data processing using Python, JavaScript, React, PostgreSQL, and Cassandra; integrated data from S3 and Databricks using Cron and Batch jobs with data validation, monitoring using OpenSearch and Grafana, and integrating MS Teams alerts; wrote comprehensive test cases in pytest to ensure code reliability.
    • Integrated ML optimization models into custom frontend interfaces with on-demand refresh, enabling real-time inventory optimization for end users.
    • Designed asynchronous job processing architecture using PostgreSQL and Kubernetes Jobs to orchestrate concurrent ML optimization workflows; implemented idempotency, retry mechanisms, and concurrency limiting to prevent duplicate model executions and resource exhaustion across worker nodes.
    • Designed and optimized PostgreSQL database schemas for high-volume (50M+ records) inventory and sales orders data; implemented index strategies to improve query performance to 50ms.
    • Developed internal C3.ai Hackathon project: Python MCP server using FastMCP for read-only Databricks query exploration, enabling fast data validation and inventory/sales order data analysis.
    • Enhanced internal developer tools (C3Prompts) using C3 MCP, Cursor, and LLMs to automate engineering tasks and accelerate application development workflows for customers.
  • Mar 2024 - Nov 2024

    Software Engineer Intern

    University of Utah

    Utah, USA
    • Architected RESTful backend APIs using Spring Boot 3 with Spring Security for role-based authorization; designed scalable, maintainable systems with strong software engineering fundamentals.
    • Built full stack Repay loan application frontend using Angular 17 with SSO authentication, RxJS async handling, and Angular Query caching, reducing load times by 45%.
  • Oct 2021 - Sep 2023

    Software Engineer

    Flipkart

    Bangalore, India
    • Built 20+ A/B-testable features for millions of users on Flipkart's cross-platform e-commerce application using React, React Native, TypeScript, and Redux, resulting in a 50% A/B test success rate and a 5–6% increase in GMV. Developed unit and integration tests using Jest.
    • Engineered cross-platform product recommendation widget; implemented infinite scrolling using React Native VirtualizedList, lazy loading and API response caching, which contributed to +817 Cr in incremental GMV.
    • Architected and implemented a high-performance, Google-like swipe review experience for millions of Android and iOS users using React Native, leveraging the React Native Animated API to deliver smooth animations while minimizing application bundle size.
    • Built event-themed homepage headers in Java, Kotlin and React Native to align with festive sale events, increasing engagement with ongoing sales and offers.
    • Participated in Flipkart Hackathon 2023, developing an AI-powered review assistant using the OpenAI API to help users write product reviews, improving recommendation quality and product tagging.
  • Jul 2019 - Oct 2021

    Software Engineer

    eQ Technologic

    Pune, India
    • Contributed to the architecture design and development of eQube Designer, an in-house low-code data integration platform, by designing MySQL database schemas, creating low-level design for Java classes, and implementing Spring Boot services.
    • Collaborated with agile team to develop eQube-AG, an in-house API gateway for data migration; built scalable, reusable UI components using MVC pattern.
    • Designed and implemented a data purge feature for the API gateway, developed interactive metrics dashboards using Highcharts, and built a customizable filtering component to support advanced API search and filtering. The UI design became a benchmark for subsequent product features.

Skills

Python, Java, TypeScript, JavaScript
ReactJS, Redux, REST APIs, HTML, CSS
Grafana, Kafka, Pytest, Jest, Git
PostgreSQL, Cassandra, NoSQL, Elasticsearch, OpenSearch, Redis
Database Schema Design, Query Optimization
FastMCP, Claude, GPT, RAG, LangChain
Docker, Kubernetes, AWS
Agile, SDLC

Certifications

AWS Certified Developer Associate - DVA-C02

Valid Aug 2024 - Aug 2027. Demonstrates proficiency in developing, deploying, and debugging cloud-based applications with AWS service APIs, AWS CLI, SDKs, containers, and CI/CD pipelines.

Projects

MCP Tooling

DBLens-MCP - Independent Project

Built a Model Context Protocol server for safe, read-only database exploration. The project helps AI assistants inspect schemas and query configured databases with controlled access.

AI - RAG

InventoryGPT - Independent Project

Created an AI-powered inventory assistant using RAG and LangChain to bring GPT-style interaction to inventory workflows. The project focuses on making inventory analysis and operational decisions easier through conversational UX.

Web App

Task Manager - Independent Project

Built a full-stack task management app with Node.js, Express, MongoDB, React, and Mongoose. Implemented JWT authentication for sign-up, login, and secure task management workflows.

Database Design

Airbnb booking journey - Group Project

Designed conceptual, logical, and physical database models for an Airbnb booking journey, covering customer browsing, bookings, payments, confirmations, and notifications.

Web App

Chat App - Independent Project

Developed a real-time room-based chat application using Node.js, HTML, CSS, and WebSockets. Users can join a session, exchange messages instantly, and explore socket-based communication patterns.

Data warehousing

DVD Rental Warehouse - Group Project

Created a data warehouse from the PostgreSQL DVD rental dataset using Microsoft Fabric and Power BI. Defined business questions, designed dimensional models, built data pipelines, staged data in a lakehouse, and delivered semantic models with business-facing visualizations.

Advanced SQL

BigQuery Public Data Analytics - Independent Project

Analyzed BigQuery public datasets for San Francisco bikeshare trips and Austin waste diversion. Used CTEs, window functions, and non-equi joins to craft analytical queries, then built Tableau visualizations.