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.
ExploreStrava 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.