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
Irvine, California - United States
Software Development Engineer II - Jan 2025 - Present
- Skills:
- Next.js,
- Python,
- GCP,
- Docker,
- MongoDB,
- FastAPI
- •Contributed to development and validation of EV control software through software-in-the-loop (SIL) test automation frameworks.
- •Developed a Next.js dashboarding tool to visualize 30GB+ of simulation data per test run, with built-in mass and cost tracking across vehicle variants.
- •Built a FastAPI backend with MongoDB aggregation pipelines to process and serve high-volume regression data, enabling efficient time-series queries for EV signal visualization.
- •Served as product owner for a business-facing logs viewer tool, enabling access to critical service logs and audit trails for monitoring sensitive data interactions.
- •Designed a centralized FastAPI backend for the logs viewer, fetching data from BigQuery where logs were ingested via service-specific log sinks, enabling scalable and secure log access.
- •Managed cloud infrastructure for apps using GCP services, including Cloud Run, Cloud Storage, scheduled jobs, and CI/CD pipelines for automated builds and deployments.
Rice University
Houston, Texas - United States
Graduate Teaching Assistant - Jan 2024 - Dec 2024
- Skills:
- 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
- Skills:
- 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
- Skills:
- 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
- Skills:
- 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.