Mathanraj Sharma
Machine Learning Engineer at H2O.ai
Western Province, Sri Lanka
Summary
🤩
Rockstar🎓
Top SchoolMathanraj Sharma is a Machine Learning Engineer with eight years of experience building and deploying ML systems, currently contributing at H2O.ai on projects like AutoDoc, MOJO2, and DAI. He blends hands-on ML engineering with DevOps skills—most notably improving h2oai/h2ogpt’s macOS one-click installer and enabling Apple silicon GPU acceleration via MPS—so models run efficiently across platforms. Comfortable across Google Cloud, business analysis, and production tooling, he moves projects from prototype to robust installable products. A curious, entrepreneurial problem-solver, he also shares expertise as a visiting lecturer and has a track record mentoring and teaching in academic and startup settings. His background spans R&D, IoT, and developer-facing ML tooling, giving him a practical edge in shipping user-focused AI solutions.
8 years of coding experience
1 year of employment as a software developer
BSc Computer Science, BSc Computer Science at University of JaffnaDiploma in English, Intermediate, Diploma in English, Intermediate at Aquinas College of Higher StudiesDevCTraining Participant, Data Science, DevCTraining Participant, Data Science at DataCampSchooling, High School, Schooling, High School at Wijayaratnam Hindu Central College - Negombo
English, Tamil, Sinhalese
Stackoverflow
354reputation
1.7mreached
12answers
2questions
Github Skills (20)
cicd10
script10
install-script10
build-automation10
macos10
installers10
dockers9
python9
linux9
docker9
gpt8
llm8
makefile8
mixture7
h2oai6
Programming languages (8)
Github contributions (5)
h2oai/h2ogpt
Apr 2023 - Mar 2024
Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/
Role in this project:
DevOps Engineer
DevOps EngineerContributions:21 PRs, 18 pushes, 20 branches in 10 months
Contributions summary:Mathanraj focused on improving the installation and build process of the project, particularly for macOS. Their contributions involved creating a one-click installer for macOS, automating the build process, and configuring it to support MPS (Metal Performance Shaders) for GPU acceleration on Apple silicon. The user also updated the Linux install script and made adjustments to the build configuration to accommodate newer versions of software dependencies and address installation issues. Additionally, they implemented fixes and improvements related to file parsing and handling within the project.
aichatgptembeddingsgenerativegpt
Mathanraj-Sharma/sample-for-medium-article
Jul 2019 - Apr 2021
Contributions:27 commits, 27 pushes, 1 branch in 1 year 10 months
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