About Advait

I’m someone who enjoys sketching things on paper, or drafting an outline before turning it into something people can actually use. I've always had a thing for optimising how I spend time. When I'm locked in on a project, I focus on finding the most productive way to get it done, whether it's through tools, or just staying in the zone till the job's finished.

Neuro-Symbolic AI LoverFormula 1 FanMusic ExplorerData StorytellerENTJ Personality type

Three things to know about me

  • • I'm a Formula 1 enthusiast. Race weekends are my reset button and I love the element of strategy and teamwork that comes into play in this multi-billion dollar sports industry.
  • • I love working across disciplines and combining multiple passions together. My favourite projects come from taking pieces from different places like tech or music and blending them into something new.
  • • I'm a visual thinker. Most of my ideas start as messy squiggly lines or doodles before becoming fully-fledged projects, or even my coursework assignments for that matter.

How I work best

  • • Headphones on playing deep focus music with 15 minute breaks every hour and a half, unless I feel like it would break my flow.
  • • Side doodles and sketches help me connect the dots and understand my workflow from every perspective.
  • • New campus spots keep me motivated to study. During midterm season, you'll never catch me at home.

Experience

Wisconsin Racing
Cognisee AI
Abu Dhabi Early Childhood Authority
Government / Public Sector

Currently exploring

  • • Started working with ESP32 development and FreeRTOS to upgrade our Formula SAE team steering wheel firmware, handing input from buttons, and a TFT display.
  • • Analysing Formula 1 performance data, to create a race predictor, with which users can adjust race conditions.
  • • Mapping domains (health, education, law) for smarter search and reasoning using neo.4j for knowledge graphs.

What’s next

  • • Gaining hands-on industry experience where I can contribute to projects while learning how ideas are scaled in practice.
  • • Getting closer to hardware by learning more with C and memory-efficient code.
  • • Designing ways for AI tools to complement human decsion-making.
  • • Exploring cloud and distributing systems to understand how large-scale systems can handle speed and reliability.

Let’s connect

Always open to new conversations, so if my work sparks something, Reach out anytime!

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