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

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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.

Why I Build

A timeline of moments that shaped my projects — from empathy to experiments.

Spark

Watching the Special Olympics with my dad

I was moved by the athletes' determination and dignity. That night I wrote: build tech that serves, not just impresses.

Outreach

Reached the Abu Dhabi Early Childhood Authority

Turned empathy into action: proposed tools to support caregivers and reduce invisible friction in daily life.

Project

Project Pinguinus begins

Prototyped milestone tracking + caregiver-friendly UX. Learned that clarity is kindness.

Opportunity

Built a digital twin for a government official

Hours of interviews, articles, and notes → a data-backed clone to improve stakeholder response time.

Method

Neuro‑symbolic mindset

Blend logic with learned intuition. If people can explain decisions, so should our systems.

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Experience

Slide through the timeline — each stop expands with context.

Career Snapshot

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LinkedIn Resume

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May – Aug 2026

Mindshare Technologies

AI | Public Sector

AI Systems & ML Intern

Tampa, FL — Federal Child Welfare

Deployed production AI over some of the most sensitive government data there is, under constraints designed so it never leaves the agency's control.

Designed and deployed a self-hosted SLM running entirely on agency-controlled hardware, behind a sandboxed natural-language interface over live case data
Built composite risk scoring over standardized accountability reviews, Isolation Forest anomaly detection on detrended residuals, and real-date compliance tracking
One tool, two altitudes: leadership sees patterns and compliance across the agency while caseworkers see what matters in their highest-priority cases
Runs directly from the agency's data center — no external APIs, and sensitive case data never leaves agency-controlled infrastructure

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Dec 2025 – Apr 2026

Stealth Startup

Cybersecurity | Systems

Cybersecurity Software Engineer

Worked on Kamal Mirage — an autonomous endpoint protection system where every device operates collectively to detect, validate, and neutralize threats in milliseconds.

Built distributed, self-healing defense architecture with no cloud dependency and no single point of failure
Engineered collective threat detection across device networks — each node shares intelligence to validate and respond autonomously
Focused on millisecond-level response times and resilience under adversarial conditions

2025 - Present

Wisconsin Racing

Embedded | Real-time

Firmware / Embedded Developer

UW-Madison

Building steering wheel firmware with real-time constraints and reliability as the top priority.

ESP32 + FreeRTOS tasks for inputs, display, CAN interactions
Focus on deterministic behavior + memory-efficient C
Systems thinking: telemetry -> debugging -> iteration

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2025

Cognisee AI

AI | Product

AI / Systems Work

Exploring applied AI workflows where usability and reasoning matter as much as raw accuracy.

Prototype-to-product mindset (shipping > perfection)
Tying structured thinking to LLM outputs
Pragmatic evaluation + iteration loops

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2024 - 2025

Abu Dhabi ECA

Impact | Accessibility

Projects / Public Impact

Abu Dhabi

Worked close to real-world constraints where tech meets people, policy, and accessibility.

Human-centered perspective (impact > novelty)
Designing for clarity, not just features
Cross-stakeholder communication

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2023 - 2024

Government / Public Sector

Systems | Stakeholders

Projects / Analytics

UAE

Learned how large systems move: coordination, timelines, and decisions under constraints.

Analytical thinking with messy real-world data
Coordination across teams and priorities
Documenting decisions + tradeoffs

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Currently exploring

• Started working with ESP32 development and FreeRTOS to upgrade our Formula SAE team steering wheel firmware, handling 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 Neo4j 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 decision-making.
• Exploring cloud and distributed 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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