# Gagan K. > Software Engineer @ NVIDIA Location: San Francisco, California, United States Profile: https://flows.cv/gagan I'm a curious and passionate software engineer living in San Francisco. My career interests are broad and span software engineering, machine learning, high-performance computing, and numerical/scientific computing. I'm particularly interested in the intersection between life sciences and technology, as well as financial technology. ## Work Experience ### Software Engineer @ NVIDIA Jan 2022 – Present | Santa Clara, California, United States Machine Learning and Backend Engineering @ Clara Discovery. We are building BioNeMo, a generative AI platform for drug discovery. ### Co-founder and Embedded Systems Engineer @ CASI Technologies Jan 2020 – Jan 2021 | Austin, Texas, United States Developed a novel microscope slide storage solution that integrates a physical storage device with online slide data management. I am responsible for the full embedded stack, including hardware and software. ### Software Engineering Intern @ NVIDIA Jan 2021 – Jan 2021 | Santa Clara, California, United States Part of the Clara Parabricks team. Worked on implementing and GPU-accelerating machine learning solutions for genome-wide association studies. ### Honors Independent Research and Development Intern @ Applied Research Laboratories, The University of Texas at Austin Jan 2020 – Jan 2020 | Austin, Texas, United States - Implemented digital signal processing algorithms for multi-source radio direction finding in Python using NumPy, SciPy and Matplotlib - Verified results using experimental high frequency I/Q data collected from a planar antenna array - Developed an object-oriented simulator framework that allows future engineers to easily test new setups ### Software Engineering Intern @ Cisco Jan 2019 – Jan 2019 | San Jose, CA - Developed server diagnostics test automation tools using Python framework Paramiko to greatly reduce the team's time spent on test data/log acquisition - Added layers of abstraction to the underlying hardware diagnostics to speed up testing process - Implemented human-readable database to ease switching between multiple servers ### Data Science Intern @ Virtually Live Jan 2017 – Jan 2017 | San Francisco, CA - Developed a bot using Python automation framework Splinter that harvests and tracks product analytics to save the team hundreds of hours each year - Helped compile and organize large amounts of raw video data to prepare it for analysis - Created a tool that streamlines the process of accessing any requested data point to improve the user's workflow ### Engineering Intern @ Kumu Networks Jan 2016 – Jan 2016 | Sunnyvale, CA - Upgraded an outdated FPGA driver generation tool to modern standards using Python - Added new features such as an improved user interface and a more effective alert system - Implemented a new data format (YAML) for storing driver information ## Education ### Bachelor of Science in Electrical and Computer Engineering The University of Texas at Austin ### Monta Vista High School ## Contact & Social - LinkedIn: https://linkedin.com/in/gagankaushik --- Source: https://flows.cv/gagan JSON Resume: https://flows.cv/gagan/resume.json Last updated: 2026-03-29