About
Hi, I’m Gopi Krishna Tummala, a Staff Machine Learning Engineer with a passion for algorithm design and AI innovation.
Born and raised in southern India, I pursued my undergraduate studies at IIT Madras and later earned my Ph.D. in Computer Science from The Ohio State University.
Experience
With 10+ years of experience in designing machine learning algorithms and models, I’ve developed expertise in algorithm development, machine learning, and metrics. I enjoy designing ML models, updating models for better performance, automation, and creating visualizations to understand models.
Current Role
Staff Machine Learning Engineer @ Latitude AI (Jun 2026 - Present)
- Responsible for the training ecosystem powering Ford’s vision and behavioral prediction models
Previous Roles
- Senior Machine Learning Engineer - P50 @ Adobe (Sep 2024 - Jun 2026): Built large-scale data frameworks for GenAI training, managed high-performance dataloaders serving millions of requests monthly, and implemented runtime profiling and telemetry for performance tuning
- Software Engineer, Prediction @ Zoox (2022 - 2024): Designed prediction models for autonomous vehicle systems
- Senior Systems Engineer @ Qualcomm Research (2020 - 2022): Developed ML algorithms for behavior prediction
- Senior Systems Engineer @ Qualcomm (2018 - 2020): Built testing and automation pipelines
Education
- Ph.D. in Computer Science - The Ohio State University (2013-2018)
- M.S. in Computer Science - The Ohio State University (2013-2017)
- B.Tech in Electrical Engineering - IIT Madras, India (2008-2012)
Research & Publications
My research spans camera calibration, autonomous vehicle prediction, computer vision, and sensor networks. I’ve published at top-tier conferences including:
- Best Paper Awards: IEEE INFOCOM 2018, ACM BuildSys 2017
- Best Demo Award: ACM BuildSys 2017
- Google Scholar: 185+ citations, h-index: 7
Key publications include work on automatic camera calibration, behavior prediction for autonomous vehicles, and collaborative vehicular systems.
Patents
- US 12,668,281: Database generation including predicted scenarios (Zoox)
- US 12,654,739: Tree based behavior predictor (Qualcomm)
- US 12,542,054: Managing vehicle behavior based on predicted behavior of other vehicles (Qualcomm)
- US 10,580,164: Automatic Camera Calibration (Microsoft)
- US 10,032,370: Methods for enabling mobile communication device based secure interaction (Honda)
Skills
- Languages: Python, C++, JavaScript, TypeScript, Java, C, SQL
- ML/AI: PyTorch, TensorFlow, XGBoost, scikit-learn, NumPy, CUDA
- Tools: Git, JIRA, AWS, Docker, GitHub Actions, Weights & Biases
Interests
Outside of work, I’m an outdoor enthusiast who loves cricket, soccer, hiking, running, biking, and surfing. I’m also an avid reader and gamer.