# Manav Shah > GPU @ Roche | MS CS @ UChicago | Ex SDE @ Visa | 3 US Patents Location: Santa Clara, California, United States Profile: https://flows.cv/manavshah Seeking Dec. 2025 Full-Time Roles I am currently an MS CS student at UChicago where I'm focusing on High Performance Computing, GPU and Low-Level Systems Programming, and Machine Learning. I completed my B.Tech in Computer and Communication Engineering along with a minor degree in Big Data from Manipal Institute of Technology, India. As a full-time Software Engineer at Visa, I contributed to the Visa Account Updater team within the Data & AI Platform, where I focused on developing high-quality backend solutions. I wrote clean, modularized, config-driven, and reusable code which passed various quality and security checks. I also contributed to VISA's IP with two patents and a defensive publication: Data Tracker (US 18/596,724) and Automated Task Delivery Using Q-Learning (US 18/901,523). I have also completed courses on Machine Learning that have helped me build projects which can be found on my GitHub ( https://github.com/therealmnv ). ## Work Experience ### GPU Software Engineer @ Roche Sequencing USA Jan 2026 – Present | Santa Clara, California, United States - Making DNA Sequencing faster ⚡️ ### Research Engineer Intern @ GenBio AI Jan 2025 – Jan 2025 | Palo Alto, California, United States - Deployed a FastAPI inference endpoint to generate embeddings from DNA sequences using a 300M parameter model; integrated with the AIDO Agent to support real-time queries, handling over 1,000 requests per day. - Optimized API deployment system by implementing a proactive model preloading mechanism, caching high-demand models into CPU memory at server startup, which significantly reduced model load latency and improved request processing speed. - Built a Kubernetes KFPv2 research pipeline for finetuning LLMs over multi-node GPUs using PyTorch and Wandb reducing experimentation cycle time by 80%. Hosted it using a FastAPI endpoint. ### Software Engineer @ Visa Jan 2023 – Jan 2024 | Bengaluru, Karnataka, India Near Real-Time Issuer Updates: - Designed a microservice using Spring Boot to manage near real-time card updates from 9000+ issuer banks adding $20M of revenue to $160M previously. - Spearheaded the development of the File Arrival module, a crucial component within our system architecture. - Devised solutions to effectively handle files arriving out of order and post cut-off time, enhancing system reliability and coherence. PAN Delivery Module using Kafka: - Implemented a delivery module in Kafka to push PAN chains to acquirer banks in real-time; - Achieved 10x faster writes compared to a MySQL-based process, ensuring scalability on large-scale data loads. - Enabled a retry mechanism for failed updates ensuring EOS. ### Software Engineering Intern @ Visa Jan 2023 – Jan 2023 | Bengaluru, Karnataka, India AAA-VAU MySQL Profile Data Sync for Daily Batch Processing: - Developed a multi-threaded, modularized, and config-driven Java utility for importing data from MySQL to Hadoop via Apache Sqoop, utilizing Amazon S3 storage as a drop zone to ensure data consistency in an Active-Active dual datacenter setup. The utility is highly customizable where the pull type can be easily changed by just adding a class through the factory method and a line change in the config. - Achievement: Reduced data pull time from 80 to 20 minutes and achieved 100% data consistency on both data centers. Active/Expired PAN Report: - Engineered a Hive-based solution in Python that efficiently generates a monthly report subscribed to by 75+ issuer banks globally. - A card is Active/Expired when marked as "Active" on our system but has actually "Expired". This occurs when issuer banks send incorrect expiry dates. - Optimized card filtering process by joining data from multiple Hive tables, managing a substantial volume of approximately 89 million cards. - Leveraged Tez to expedite processing, improving operational efficiency and reducing data retrieval latency. NOTE: Ensured the integrity and reliability of all code through CI/CD pipelines incorporating SonarQube, Sonatype, Checkmarx, and Blackduck scans to maintain high standards of code quality and security. ### Data Scientist @ Mindtree Jan 2022 – Jan 2022 | Bengaluru, Karnataka, India - Developed a Management Decision Support System for the Traveling Salesman Problem (MDSS-TSP) in Python, optimizing the order of outlet assignment to minimize travel costs for salesmen as a part of Operations Research. - Employed and visualized methods including Enumeration, Branch & Bound, Hungarian Assignment, and Nearest Neighbor in Python. - Conducted thorough analysis on multiple 10x10 distance matrices, comparing algorithmic time complexity and efficiency to provide actionable insights. - Used CPLEX libraries to evaluate algorithmic time complexity; uncovered optimization opportunities leading to a 40% reduction in processing time for critical operations. ### Data Scientist @ Creditt Jan 2021 – Jan 2021 | Ahmedabad, Gujarat, India - Applied advanced statistical methods to clean customer data. - Feature engineered a loan repayment performance metric and trained it on 13 Machine Learning models to optimize loan acceptance/rejection predictions, rigorously refining hyperparameters for model accuracy. - Performed Experimental Data Analysis with Seaborn and Matplotlib to reveal statistical insights within customer data, presenting findings to stakeholders weekly. ### Machine Learning Engineer @ Innovation Centre at Manipal Institute of Technology Jan 2020 – Jan 2020 | Manipal - Employed BeautifulSoup4 for web scraping and Haar Cascades to collect 44,000 face images categorized by emotion. Trained a ResNet50 model, achieving 96.8% validation accuracy. - Utilized OpenCV for real-time video analysis, extracting facial images, and calculating audience engrossment scores. - Developed APIs in Python to connect the backend components to a web application built on Flask. ## Education ### Master of Science - MS in Computer Science University of Chicago ### Bachelor of Technology - BTech in Computer and Communication Manipal Institute of Technology ### ICSE Greenlawns High School ## Contact & Social - LinkedIn: https://linkedin.com/in/manav-shah-735480199 - GitHub: https://github.com/therealmnv --- Source: https://flows.cv/manavshah JSON Resume: https://flows.cv/manavshah/resume.json Last updated: 2026-04-10