- 🔭 Currently researching how Generative AI reshapes the way we think — building LLMs tuned for learning over seamlessness, with a side quest into gamifying it so people actually want to engage
- 🪢 Spent my last hackathon untying mathematical knots with quantum computers (yes, really — Grover's algorithm meets braid theory)
- 🛰️ Building physics-informed neural nets to hunt for exoplanets in TESS light curve data
- 📈 Once made a machine learn Minneapolis traffic patterns better than most humans could guess them
- 🕵️♀️ By day (okay, by freelance gig), I dig through patents as an IP researcher, hunting prior art like a detective with a spreadsheet
- 🎤 Also moonlight as an emcee, debater, and the person who once interviewed Pico Iyer and lived to tell the tale
- 🌱 Currently learning: Bayesian methods, optimisation theory, and how to make quantum circuits behave
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🪢 Quantum Search Pipeline for Braid Theory
Custom Grover oracles + diffusion operators to "untie" knots and resolve secret braid words. Abstract algebra meets quantum computing. 🥉 3rd place, 48-hr hackathon.
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🛰️ Exoplanet Detection PGNN Pipeline
End-to-end pipeline to de-trend TESS light curves and classify transit signals with a physics-informed neural network. Built for an ISRO-sponsored hackathon.
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⚙️ LightWeight-QC-Optimiser
A bare-metal quantum circuit transpiler written in pure C — takes in gates, spits out an optimised, simplified circuit.
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🚦 Metro Interstate Traffic Prediction
A bagged ensemble model forecasting traffic density across 48,000+ Minneapolis data points using temporal + weather features. Paper headed to ICMEET'26. 📄
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🧠 Impact of GenAI on Learner Cognition
Independent research on how effortless AI answers affect cognition — plus a fine-tuned LLM designed to optimise for learning, and a gamification layer to make it stick.
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🎮 mini_games_acm
A collection of mini games built for the ACM student chapter.
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📚 Also curating Weekly_Readings — a running log of research papers I actually sat down and read (8 in one month, no big deal).
Quantum Algorithms • Physics-Informed ML • Bayesian Methods • Stochastic Processes • Human-AI Interaction & Cognition • Abstract Algebra applied to Computing • Astronomical Data Science
- 🗣️ Secretary, College Literary & Debate Club — professional overthinker of arguments, emcee for TEDx and friends
- 💰 Treasurer, ACM Student Chapter — I make the spreadsheets and the fun events happen
- 🌍 Top 50 speaker (of 200+) at the GEMS Model World School debate format, Dubai
- ✍️ Once interviewed Pico Iyer and only panicked a little
📫 Reach me on LinkedIn or find the memes on Instagram — let's talk quantum knots, exoplanets, or why your brain might be getting lazy around AI.