Suhit Kodgule
Software Engineer at Meta
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolSuhit Kodgule is a Software Engineer at Meta on the Network.AI team with eight years of experience building distributed ML systems and robotics software. He previously led key improvements in AWS SageMaker’s Model Parallel library—enabling 128K+ context lengths, Mixture-of-Experts composability, and checkpoint resiliency improvements that cut load time from ~10s to under 1s. Suhit holds an MS in Robotics from Carnegie Mellon, where his research produced an online RL/MCTS planner that reduced reconstruction error by ~34% for planetary rover exploration. He blends systems-level engineering (high-performance distributed training) with algorithmic research (online learning and safe path planning), and has a track record of turning research prototypes into production-grade features. Based in the Bay Area, he brings a rare combination of field-robotics intuition and large-scale ML infrastructure experience.
7 years of coding experience
8 years of employment as a software developer
Bachelor of Technology (B.Tech.) Electrical and Electronics Engineering, Bachelor of Technology (B.Tech.) Electrical and Electronics Engineering at Vellore Institute of TechnologyMaster of Science - MS Robotics, Master of Science - MS Robotics at Carnegie Mellon University
English, Hindi, Marathi, German
Github Skills (65)
python10
mxnet10
sagemaker10
amazon-sagemaker10
huggingface10
deep-learning10
mlops10
optimization10
deploying10
jupyter10
data-science10
reinforcement-learning10
tensorflow10
jupyter-notebook10
amazon10
Programming languages (3)
Github contributions (5)
SuhitK/amazon-sagemaker-examples
Apr 2022 - Jun 2024
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Contributions:25 pushes, 1 branch in 2 years 2 months
sagemakerpythonamazon-sagemakermachine-learning-deploydata-science
SuhitK/project-b
Aug 2021 - Aug 2021
Contributions:2 pushes, 1 branch in 1 day
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