Engineering
How I design systems that stay fast, stable, and maintainable.
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Vibhu Sharma
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Chapter 00
Dealing with data, statistics, AI and endurance.
I study data science at Memorial University, build apps in Flutter, Python, R and JavaScript, and run an AI community called Genralis AI. Outside of that, I train daily, run long distances through Newfoundland, and read research papers I wasn't assigned(for fun).
Based in St. John's. Usually mid-build on something.
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I study data science at MUN, build apps in Flutter, Python, and JavaScript, and run an AI community called Genralis AI. I train daily, run long distances through Newfoundland, and read research papers I wasn't assigned. Started at 109 kg. Run 40-kilometre trails now for fun. The lesson wasn't fitness — it was that most limits are just defaults nobody bothered to change. I apply that to code and most things in between.
More output than opinions. More shipped than planned.
Python, JavaScript, React, Flutter, Node.js — tools chosen for what the product needs, not what looks good on a CV. I work across data workflows, mobile apps, and web systems. The stack changes. The standard doesn't.
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Story-driven interface with chapter navigation, motion, and testing support.
Catalog and checkout flows designed for conversion and resilient operations.
Data analysis of F1 drivers, just for fun.
Strava training log
Running is where the build mindset gets physical: steady mileage, trail work, and long efforts around Newfoundland. Strava keeps the receipts.
View Strava ProfileSyncing latest public training stats.