Master's student at Rice University (Dec '26). I teach machines to see, learn, and occasionally predict the weather. Currently obsessed with LLMs, MLOps, and making AI that actually works in production.
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IEEE Papers
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Rice University
Helping grad students conquer the beautiful chaos of automata theory! I run office hours that actually help (shoutout to the 10+ students whose problem-set scores shot up 📈), craft feedback that makes sense, and keep the course running smoother than a deterministic finite automaton.
VIT Chennai
Built a face-recognition attendance system that knows 500+ faces in under half a second (87% accuracy, 0.5s latency — yes, I timed it). Squeezed 30% more speed out of the inference pipeline, wrapped it in a React Native app, and pitched it so well the university went campus-wide with it. Oh, and it became an IEEE paper. 🎓
VIT Chennai
Taught an LSTM to predict wind speeds 10% better than baseline — useful for renewable energy, cooler for my resume. Also got hands-on with federated learning (Flower framework, 4 distributed clients), cutting server load by 35% while keeping everyone's data private. Privacy-preserving ML before it was cool? Maybe. 😎
Spent some quality time with 2k+ arXiv papers so LLaMA didn't have to read them all. Used LoRA to shrink trainable params from 1B → 6M (efficiency win!) and bumped classification accuracy from 40% → 67%. Now it auto-labels papers at ~95ms a pop. 🦙
Built an end-to-end sentiment analyzer that chews through 50k+ IMDB reviews on AWS EKS. Complete with MLflow experiments, DVC for versioning everything (datasets, features, models), and a monitoring stack (Prometheus + Grafana) that would make any DevOps engineer happy. ☁️
Privacy-preserving weather predictions! LSTM clients and a Flower server working together without sharing raw data. Renewable energy folks, you're welcome. 🌬️
Custom CNN vs. VGG-16 showdown for medical image classification. Documented all the trade-offs so you can swap in any dataset and get going.
Teaching CNNs the difference between 'real human' and 'photo of a human.' Includes data augmentation because fooling this model should at least be a challenge. 👀
A logistic regression classifier that hooks into your inbox via IMAP and actually filters spam in real-time. Also logs predictions for drift monitoring — because spam evolves, and so should your model.
IEEE Conference, 2024
That face-recognition system I built at VIT? It ended up in an IEEE paper! Covers the full pipeline from face encoding to real-time inference at scale. 📸
IEEE, July 2024
A collaborative metric learning approach for predicting drug-disease interactions — turns out the math can outperform traditional repositioning methods on the CTD dataset. 💊
IEEE Conference, 2024
Exploring how AI can make personalized nutrition recommendations and enhance educational outcomes. Because algorithms should help you eat better and learn faster! 🥗📚
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