Work Experience

During my work experience, I have had the opportunity to take on diverse roles and projects that have significantly enriched my skillset and knowledge in computer science. After completing two semesters of my Master's in Computer Science program at Rice University, I interned at Nedd Technologies in Houston, Texas, where I developed an ESG platform from scratch. Prior to my time in the US, I worked for nearly two years as a Software Engineer at HSBC Technology India, designing and developing critical microservices and backend solutions that significantly improved data accessibility and operational efficiency. My contributions were recognized with the "Star Performer" Award in Q1, 2023. Currently, I have joined Ford Motor Company in the Advanced EV department, where I am contributing to full-stack projects and other internal initiatives. These varied experiences have been instrumental in shaping my career and fueling my passion for technology, particularly in distributed systems, full-stack development, and DevOps.

Ford Motor Company

Long Beach, California - United States

Software Engineer - Advanced EV Systems, Skunk Works • Jan 2025 - Present

Next.js

Python

GCP

Docker

MongoDB

FastAPI

Designed and built a Next.js analytics dashboard to visualize 30GB+ of EV software-in-the-loop (SIL) regression test data per run, enabling engineers to explore and analyze vehicle signals across thermal, battery, and control systems.

Led end-to-end development of a production-grade Bill of Materials (BOM) quality dashboard for 21 vehicle variants with ~35K parts per variant, implementing 13 quality checks critical to part release, cost auditing, and sourcing decisions.

Delivered a business-critical BOM quality platform to production within 15 days, owning frontend (Next.js), backend (FastAPI), data pipeline, and cloud infrastructure end-to-end.

Designed an event-driven data pipeline using GCP Eventarc, Cloud Storage triggers, scheduled jobs, and MongoDB, enabling near real-time ingestion, validation, and visualization of BOM data for 200+ users across the ECM organization.

Replaced manual Excel-based audit reporting with a fully automated pipeline generating validated reports and dashboards, significantly reducing audit turnaround time and eliminating human error.

Built executive-facing change action and performance dashboards for C-suite stakeholders to track ownership and approval bottlenecks in vehicle part release workflows.

Developed software release management tools for over-the-air (OTA) update workflows, building Next.js frontends and FastAPI backends to manage vehicle software releases at scale.

Built AI-assisted automation to remediate 42+ production security audit findings, accelerating vulnerability fixes and improving API security compliance.

Rice University

Houston, Texas - United States

Graduate Teaching Assistant • Jan 2024 - Dec 2024

Next.js

React

Web Security

Wireshark

Javascript

Node.js

Express

MongoDB

Graduate Web Design and Development - Aug 2024 - Dec 2024

Guided students through web development principles, covering topics such as HTML, CSS, JavaScript, and modern frameworks like React, node.js and Express.js.

Assisted in creating and grading assignments, ensuring that students grasped key concepts of front-end and back-end development.

Computer Security - Jan 2024 - May 2024

Designed and guided students through assignments focused on identifying and exploiting vulnerabilities in web applications, including bringing down sites by detecting and leveraging inconsistencies.

Led lab sessions utilizing Wireshark to identify and analyze vulnerable network packets, enabling students to effectively fix security weaknesses in real-world scenarios.

Nedd Technologies

Houston, Texas - United States

Founding Software Engineer • May 2024 - Aug 2024

Next.js

Tailwind css

Python

Flask

Azure

Postgres

Redis

Kafka

Directed the end-to-end development of the ESG Platform, taking the project from conception to a fully functional demo within 2 months.

Implemented Flask-based RESTful services capable of handling over 1,000 API requests per second, and designed a responsive Next.js User Interface.

Configured a suite of essential tools, including Grafana, MS Copilot, and Azure AI services, on an Azure Linux VM (version 9).

Engineered and implemented a comprehensive data model, creating 60 psql database tables covering Environment, Social, Governance, Ops, Regulatory, and Finance domains.

Employed Azure DevOps to implement CI/CD pipelines and deployment strategies, reducing deployment time by 50% and increasing product reliability with a 60% decrease in production issues.

HSBC

Pune, Maharashtra - India

Software Engineer • Aug 2021 - June 2023

Spring Boot

Python

Ansible

Droit

Service Now

Node.js

Oracle DB

React

Unix

Load Trade

Spearheaded development of Load Trade Archive Service, a microservice-based platform for Bloomberg's Load Trade production instance.

Enabled direct user access to XML and CSV trade files through a UI with different filters, reducing weekly IT team search time by 30 minutes per member and significantly improving data accessibility and organization.

Facilitated requirements gathering and feedback sessions with business users, creating a UI that streamlined access to trade files and improved data retrieval efficiency by ≈ 50%.

Earned Star Performer Award from HSBC in Q1 2023 for Load Trade Archive Service project, an honor awarded to only 20 individuals organization-wide for exceptional performance.

Deployed Log Dream, a logging solution with a user interface that simplified error tracking for production issues across 4 different services, reducing log review time by 60%.

Authored a Python-based CR Checker Plugin for Ansible Tower, automating pre-deployment verification of 100% Change Requests per month, enhancing compliance and reducing deployment errors by 85%.

Developed a Spring Boot service with API endpoint for Kubernetes deployments via Jenkins, integrating with ServiceNow for automated CR verification, ensuring 100% compliance before production deployments.

Optimum Data Analytics

Pune, Maharashtra - India

Machine Learning Engineer Intern • Aug 2019 - Jan 2020

Python

Flask

Ludwig

Tensorflow

Pandas

MySql

Deep Learning

Conceptualized and executed Document Classification using visual parameters, a deep learning project aimed at streamlining document categorization (letters, emails, resumes, invoices, etc.) for user convenience.

Employed a Convolutional Neural Network (CNN) model for classification, achieving a raw training accuracy of 95.7% and a test accuracy of 83%.

Implemented an MLOps pipeline using Docker, TFX, and Jenkins for automated model tracking, version control, and deployment, reducing model update time by 30% and ensuring continuous integration and delivery.

Developed a web application using Python Flask, which allowed users to upload and classify documents with ease.