# Batyrlan Nurbekov > Follower of Jesus Christ, Good News: youtu.be/t1BWSOVNm4A Location: San Francisco, California, United States Profile: https://flows.cv/batyrlan Machine Learning Engineer ## Work Experience ### Software Engineer (Machine Learning) @ Truva Jan 2024 – Jan 2024 | Palo Alto, California, United States (acquired by Salesforce) ◦ Developed a system for producing call statistics and call outline using LiteLLM and OpenAI GPT-4o ◦ Optimized and improved the prompts for existing use cases using Prompt Engineering techniques ◦ Added ability to monitor and debug LLM models using LangFuse ### Senior Software Engineer (Machine Learning) @ Mashgin Jan 2022 – Jan 2024 | Palo Alto, California, United States • Developed, optimized and implemented machine/deep learning models for computer vision • Developed a system for automatic improvement of segmentation models using PyTorch and Active Learning • Developed a system that generates synthetic data for segmentation models using Transformers and Generative Adversarial Networks ### Co-Founder @ TensorBox Jan 2021 – Jan 2022 | United States VSCode extension for fixing errors in code: https://tensorbox.ai/ • Built language models (transformers) in Pytorch • Developed low-level CUDA kernels (GPU programming) to speed up inference in C++ by 5x • Created backend in NodeJS and front-end in React ### Co-Founder @ Utterly Jan 2021 – Jan 2022 | San Francisco Bay Area Noise removal AI for online meetings (Mac app) and audio (SDK): https://utterly.app/ • Built ML models in Tensorflow • Developed latency-optimized code for inference in C++ • Created backend in NodeJS and front-end in React ### Founder @ Hard Tech Startup Jan 2019 – Jan 2019 | San Francisco Bay Area Built machine learning models for solving the long-tail problem in autonomous vehicles • Used Tensorflow to build the models • Developed a Gstreamer plugin in C++ for processing video frames in real-time ### Senior Software Engineer @ Cruise Jan 2017 – Jan 2018 | San Francisco Bay Area • Developed, optimized and implemented machine/deep learning models for prediction in Tensorflow and Keras • Developed latency-optimized code for inference in C++ • Created pipelines for data extraction in Python ### Software Engineer @ Bossa Nova Robotics Jan 2016 – Jan 2017 | San Francisco Bay Area • Developed and implemented a SLAM system using MATLAB and C++ in a team of 5 • Created a data pipeline for product label localization and processing using ROS and OpenCV • Developed a simulation infrastructure using Python and Gazebo ### Software Engineering Intern @ iRobot Jan 2015 – Jan 2015 | Bedford, MA • Developed new features for the existing iOS application for Ava 500 Mobile Robot: - Created a new “Video Chat/Voice Call” module, including a user-friendly GUI - Designed and implemented new Augmented Reality (AR) Gestures that enable user to control the robot by interacting with video stream from robot’s camera • Developed new Pan/Tilt control functionality on the robot side ### Software Engineering Intern @ Carbon Black, Inc. Jan 2014 – Jan 2014 | Waltham, MA • Fully rebuilt FileAdvisor (application whitelisting web app) using ASP.NET MVC framework: - Developed both back-end and front-end (Full Stack) using C#, SQL, Javascript, HTML, CSS - Integrated the application with AWS (DynamoDB, CloudSearch, SES, SNS) - Created desktop shell plugins for Windows, Mac, Linux for instant access to web application using C#, Objective C and Python • Tested and deployed the web application onto EC2 instance ## Education ### Y Combinator Startup School in Business Administration and Management, General Startup School Online ### Bachelor of Science (B.S.) in Computer Science Worcester Polytechnic Institute ## Contact & Social - LinkedIn: https://linkedin.com/in/bnurbekov - Portfolio: https://Story4.us/loveofjesus - Portfolio: https://x.com/BatyrlanNur --- Source: https://flows.cv/batyrlan JSON Resume: https://flows.cv/batyrlan/resume.json Last updated: 2026-03-29