Adarsh C is a data analyst with 8 years’ experience applying ML/DL and AI to real-world problems across transportation, automotive, and software engineering domains. Based in Dublin, he has built Azure-powered data solutions and led AI adoption initiatives as a Copilot Champion at Spanish Point Technologies, and now drives analytics at Iarnród Éireann Irish Rail. His background spans end-to-end engineering—from automating AUTOSAR configurations and embedded vision projects to shipping full‑stack features in personal assistant tooling—giving him a rare blend of production ML, software craftsmanship, and systems thinking. He regularly teaches colleagues through bootcamps and reverse mentoring, translating complex models into actionable insights and usable products. Notably, his open-source work includes feature-rich enhancements to a cross-platform personal assistant, showing hands-on commitment to usability and code quality.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering at Nitte Meenakshi Institute of Technology
Master of Science - MS, Data Analytics, Master of Science - MS, Data Analytics at University College Dublin
Contributions:8 commits, 4 PRs, 21 comments in 3 months
Contributions summary:Adarsh primarily focused on adding and improving the "spin wheel" feature within the personal assistant project. They implemented the core functionality for the spin wheel, including user input and result display. Furthermore, the user addressed errors, improved code formatting, and enhanced the feature with additional functionality like bulk resizing of images. This indicates a focus on adding new features, improving existing ones, and addressing usability and code quality concerns.
BlocklyML is a simple visual programming Tool for python and ML. 🧩 🖥️
Contributions:308 commits, 180 PRs, 221 pushes in 1 year 6 months
pythonsklearndeep-learningpycaretjavascript
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