# Midhun M > Engineer Location: San Francisco Bay Area, United States Profile: https://flows.cv/midhunm I work on large-scale distributed systems. In my previous roles, I built micro-services, data pipelines, and platforms for cloud content management. I have experience in developing and deploying machine learning models using AWS technologies and Python libraries such as SciPy, NumPy, and Keras. I have a master's degree in computer science from Arizona State University, where I conducted research on AI for robotics. I enjoy working with diverse teams and contributing to innovative solutions that solve real-world problems. I am passionate about learning new technologies and applying them to challenging projects. ## Work Experience ### Senior Software Engineer II @ Labelbox Jan 2024 – Present | San Francisco Bay Area Building the platform that enables data collection which is used in the training of frontier LLMs ### Staff Software Engineer @ Bazaarvoice Jan 2023 – Jan 2024 ### Software Engineer, Backend @ Box Jan 2021 – Jan 2023 | Redwood City, California, United States Building large scale distributed database systems. Part of the core data engineering team responsible for the metadata storage layer at Box. Built micro-services with Scala/Java & Kubernetes that ensure high uptime of the DB cluster. Developed and managed data pipelines with Kafka for publishing database change events. Worked on services to facilitate database sharding, monitoring, connection management. Worked with Scala, Java, Python, Akka, ProxySQL, Slick ORM, Kafka, MySQL, Kubernetes. Provided engineering on call support for live services. ### Scientific Software Developer @ Enthought Jan 2019 – Jan 2021 | Austin, Texas Area Developed algorithms and data pipelines for image processing and machine learning for scientific applications such as seismic volume interpretation & microchip fabrication. Built a platform for the complete machine learning lifecycle including data collection, processing, exploratory analysis, training & managing ML models, deployment to production. Used Python and libraries like SciPy, NumPy, Keras, Dask, ZARR. Worked with AWS technologies for training and deploying ML models. ### Software Engineer Intern (Data Science & ML) @ AdviNOW Medical Jan 2019 – Jan 2019 | Scottsdale, Arizona • Worked on the development of a machine learning system for disease diagnosis & treatment. • Optimizing and parallelizing algorithms for analyzing large data sets. • Streamline deployments using robust CI/CD pipelines, Gitlab, Docker and Ansible. ### Graduate Student Researcher @ Arizona State University Jan 2017 – Jan 2019 | Phoenix, Arizona Area Autonomous Agents and Intelligent Robotics Lab: • Researching sequential decision-making algorithms for robotics. • Created an extensible python framework that integrates robot simulators (V-REP, OpenRAVE), task planners(FF, FD) and motion planners (OMPL) and is designed for streamlining sequential decision-making algorithm experimentation. It is currently being used by most researchers in the lab. • Developing a visual block-programming web interface for beginner robot programmers using Google Blockly, Django and a custom designed robotics simulation framework in Python. ### Software Engineer @ Zynga Jan 2015 – Jan 2017 Full stack mobile development with C++, Python, C#, Ruby on Rails. Engineered in-game mechanics created on a biweekly basis. Provided engineering support for live operations and events. Worked with designers and artists in the creation of new features. Improved stability. Solved problems that include detecting context of the conversation from player’s actions, adapting gameplay to suite changing contexts and methods to improve player retention. Created bots to mimic human players, designed real time in-game messaging services and worked with AR, computer graphics rendering algorithms to maximize performance on mobile devices. ### Software Engineer @ Samsung Electronics Jan 2014 – Jan 2015 Development of the Natural Language Understanding server for voice user interface application. Worked on NLP, machine learning algorithms for classification, text processing. Developed the criteria extraction algorithm for Weather, Alarm, Navigation agents. Tuning language grammars for accurate domain prediction. Proposed and developed a web tool using NodeJS and AngularJS that helped the team tune grammar rules issues faster. ### Software Development Intern @ Analyttica Datalab Pvt. Ltd. Jan 2014 – Jan 2014 Worked as a developer intern in a start up. I was exposed to Software Architecture, Design Patterns, Web Development in Angular JS, R and SAS. Java Servlets, Hibernate ORM, etc. Created various modules including a Java-SAS connector interface and a product review module. ## Education ### Master's degree in Computer Science Arizona State University ### Bachelor's Degree in Computer Science and Engineering Amrita Vishwa Vidyapeetham, Coimbatore ## Contact & Social - LinkedIn: https://linkedin.com/in/midhunpm --- Source: https://flows.cv/midhunm JSON Resume: https://flows.cv/midhunm/resume.json Last updated: 2026-04-01