Akash C
Foster City, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAkash C is an AI-focused engineer with 9 years of experience building intelligent products from the San Francisco Bay Area. With roots in mechanical engineering and ongoing M.S.E. studies in Robotics at the University of Pennsylvania, he blends physical systems intuition with machine learning and data science. He actively contributes to open-source AI tooling—adding Jupyter notebooks and time-series workflows to H2O.ai meetups material—demonstrating practical experience with data ingestion, exploration, and model building. Comfortable across research and applied engineering, he translates complex datasets into production-ready models and reproducible notebooks. Based in Foster City, he brings a curiosity-driven approach to solving real-world problems at the intersection of robotics and AI.
9 years of coding experience
Hammond High SchoolCandidate for M.S.E in Robotics, Candidate for M.S.E in Robotics at University of Pennsylvania
Github Skills (8)
machine-learning10
jupyter-notebook10
h2o10
data-science10
regression8
data-analysis8
python7
time-series7
Programming languages (4)
Github contributions (5)
h2oai/h2o-meetups
Oct 2016 - Mar 2017
Presentations from H2O meetups & conferences by the H2O.ai team
Role in this project:
Data Scientist
Data ScientistContributions:14 commits, 13 pushes in 5 months
Contributions summary:Akash contributed to the repository by adding and updating Jupyter notebooks related to H2O.ai's data ingestion and time series analysis capabilities. These notebooks demonstrate the use of the H2O library for data loading, exploration, and model building. The commits show the integration of various datasets and focus on showcasing H2O's functionalities for tasks like regression and data analysis.
mxneth2odeep-learningmachine-learningai
Avkash/mldl
Jan 2017 - Oct 2020
Machine Learning and Deep Learning Resources
Contributions:1976 commits, 1953 pushes, 1 branch in 3 years 10 months
pythonmxnetdata-sciencedeep-learningmachine-learning-algorithms
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