# Vhal Dhimant P. > Sr Software Engineer. Austin, TX Location: Austin, Texas, United States Profile: https://flows.cv/vhal Vhal is currently working on the simulation team at AVRide. Working on a wide range of projects ranging from core simulation issues such as sim-to-real parity, to offline processing infrastructure at scale Previously, he had been working on software infrastructure tools at Fox Robotics, as part of the autonomy infrastructure team. His contributions include building and maintaining systems for kinematic simulation (2.5D), deterministic, backward-compatible log playback (using protocol buffers and MCAP), a 3D visualization stack (leading the migration project to Foxglove), asynchronous dehydrated logging into partial chunks, robot fault publishing using MQTT, logs based regression testing in CI and more. He has extensive experience with the Bazel build system, enabling reproducible, hermetic builds in large multi-language monorepos (C++, Python, Go, TypeScript), Docker for deploying production code and dev environments, has designed CI/CD pipelines using Bitbucket and GitLab, and LLM-based tooling to decrease developer support burden. Earlier in his career, he worked on large-scale graph databases, optimizing C++ query execution and compiler performance at KatanaGraph, and computer vision problems, including perception and pose refinement for automated checkout systems at StandardCognition, as well as satellite image generation from raw data at the Indian Space Research Organization. He holds a Master’s degree in Computer Science and Engineering from UC Santa Cruz, with a focus on Machine Learning and Computer Vision. ## Work Experience ### Software Engineer @ Avride Jan 2025 – Present | Austin, Texas Metropolitan Area Simulation team ### Senior Software Engineer @ Fox Robotics Jan 2023 – Jan 2025 | Austin, Texas, United States ### Software Engineer II @ Katana Graph Jan 2022 – Jan 2022 | Austin, Texas Metropolitan Area Designed and implemented RFCs for C++ and Python projects. 
Discovered and analyzed bottlenecks in large-scale distributed C++ applications, using tools such as VTune and Jaeger. Implemented query engine optimizations, improving execution by up to 1000x for queries significant to clients executed on terabyte-sized datasets. ### Software Engineer @ Katana Graph Jan 2021 – Jan 2022 | Austin, Texas Metropolitan Area ### Teaching Assistant @ University of California, Santa Cruz Jan 2020 – Jan 2021 | Santa Cruz, California, United States ### Machine Learning Intern @ Standard Cognition Jan 2020 – Jan 2020 | San Francisco, California, United States Developed machine learning models for Human Pose refinement to detect purchases by tracking shopper hand motion in real time. Optimized Python code for L-BFGS optimization model improving execution time by 24x. Trained self attention networks to an accuracy of 89% for pose refinement using GPU enabled Linux containers on GCP ### Teaching Assistant @ University of California, Santa Cruz Jan 2019 – Jan 2020 | Santa Cruz Teaching Assistant for CSE30: Abstractions in Python Regularly hosted discussion sessions and helped create and maintain Jupyter Notebooks containing class material such as modules for writing a PyTorch's autograd, an object oriented implementation of Pandas tables, etc all from scratch in Python. ### Research Intern @ ISRO - Indian Space Research Organization Jan 2018 – Jan 2018 | Ahmedabad Area, India Trained and optimized deep learning models for the generation of RGB satellite imagery from multi-band satellite imagery. Then set up a production environment on an air gapped system of servers to automate periodic generation of satellite imagery using these models ## Education ### Masters in Computer Science University of California, Santa Cruz ### Bachelor of Technology - BTech in Computer Engineering L.D. College of Engineering ## Contact & Social - LinkedIn: https://linkedin.com/in/vhal-purohit --- Source: https://flows.cv/vhal JSON Resume: https://flows.cv/vhal/resume.json Last updated: 2026-03-30