Aug 2025 – Dec 2025 · 4 mos · Austin, Texas Metropolitan Area · Remote

May 2025 – Aug 2025 · 3 mos · Austin, Texas Metropolitan Area · Remote

Feb 2024 – Mar 2025 · 1 yr 1 mo · Austin, Texas, United States · Hybrid

• Inbound Execution Team - CasteGateForwarding
• Spearheaded the development of the Billing microservice, leveraging Kafka, Python, GraphQL, and SQLAlchemy to automate invoice generation, reducing invoice processing time by 60% and enabling real-time revenue visibility.
• Played a key role in automating 95% of shipment charges, eliminating manual calculations and reducing audit requirements by 80% through a fully automated system.
• Led the redesign and development of a scalable, event-driven Track-and-Trace microservice using Kafka, Python, GraphQL, and SQLAlchemy, aggregating milestone data from multiple sources to provide real-time tracking, capturing 90% of data and processing millions of messages to improve accuracy by 15%.
• Added comprehensive integration tests across the money domain services, reducing the daily error rate to zero, improving reliability by 40%, and implemented logging and alerts using DataDog to enhance data consistency and detect issues early.
• Led cross-team collaboration with downstream teams, ensuring smooth integrations and the successful release of multiple features/services with minimal service disruptions and 100% on-time delivery.

Jun 2023 – Aug 2023 · 2 mos · Buffalo, New York, United States · On-site

• Designed and built an end-to-end ”Save for later” wishlist feature utilizing PostgreSQL for database querying, Python for API endpoints, and JavaScript for the frontend; decreased abandoned shopping carts by 18%.
• Engineered a VSCode Extension to provide autocomplete functionality for the Odoo codebase using TypeScript and the VSCode API, reducing development time by 15%.

Feb 2023 – May 2023 · 3 mos · Austin, Texas, United States · Remote

• Overhauled the frontend app using NextJS and server-side rendering, resulting in a significant improvement in load times; increased user engagement by 25%.
• Transformed backend architecture to a serverless model on AWS Lambda with TypeScript and Python; achieved 30% cost reduction.
• Integrated Stripe’s ReactJS components and APIs for seamless payment processing, allowing users to pay via cards and mobile wallets (Apple Pay, Google Pay); reduced checkout time by 10%.

May 2022 – Aug 2022 · 3 mos · Santa Clara, California, United States

• Spearheaded the development of a universal Online Learning architecture pipeline, enhancing Ushur’s ML platform by enabling seamless integration with 90% of existing and future deep learning models.
• Implemented a few-shot learning classifier within the universal Online Learning architecture for the Ushur platform, achieved a 5% increase in accuracy for edge-case data points.

Sep 2021 – Mar 2023 · 1 yr 6 mos · Dallas-Fort Worth Metroplex

• Computer Science Grader for CS1334 (Programming Fundamentals for Non-Majors)

Jan 2021 – Jul 2021 · 6 mos · Bengaluru, Karnataka, India

• Led a team of developers to develop a POC to extract relevant textual information regarding structual data from 2-D Engineering Drawings using OpenCV and Python, achieving an extraction rate of 80%.
• Performed Data Analysis on PCAP and CDR data of various Network providers in the US to give insights on customer behaviors for churn analysis, increasing customer satisfaction by 15-20%.
• Built a POC using Convolutional Neural Networks for identifying and locating the pneumonia in patients using X-ray images, achieving a classification accuracy of 93%. The POC was extended to display heatmaps showing the regions where the pneumonia was majorly present.

Jan 2020 – Jul 2020 · 6 mos · Pennsylvania, United States

• Engineered a dataset of 14,500 images for various Salmonella strains at the Ebrahimi Bio-Electronics lab using laser speckle imaging.
• Developed Convolutional Neural Network (CNN) models using Tensorflow and Keras to identify the Magnesium transporters within various Salmonella strains; achieved a 97.84% classification accuracy