I'm a graduate researcher and builder working across deep learning, data systems, and wireless signal processing. I thrive at the intersection of data and real-world complexity.
🔎 Actively seeking roles in Data Science, Data Engineering, and Wireless Systems.
- 🎓 Master's in Computer Engineering @ Arizona State University (GPA: 4.0)
- 🧪 Graduate Research Associate @ PROTON Lab — working on a thesis in Distributed Power Control & Optimal Denoising for Over-the-Air Computation Networks
- 💼 Former Data Engineer @ ZS Associates – built scalable SQL pipelines and analytics for 1000+ field reps
- 📚 3x IEEE-published — applied deep learning on EEG signals for seizure detection
Languages
Frameworks & Libraries
Data Tools & Visualization
🔧 LLM-based Smart Task Prioritizer
Energy-aware productivity assistant using GPT-4 + LangChain; integrates prompt chaining and task reasoning via Streamlit.
🧠 Seizure Type Classification from EEG
Built CNN and LSTM models on EEG time-series transformed into phase sync matrices — 98% accuracy. Published in IEEE BSN, ASSIC, and SPMB.
📸 FoodVision Classifier
100-class food image classifier using EfficientNet-B2, deployed via Hugging Face with real-time optimization.
- IEEE BSN 2023 – Seizure Type Detection Using EEG + DL
- IEEE SPMB 2023 – LSTM Framework for Seizure Classification
- ASSIC 2024 – Attention-based Deep Learning for Epileptic Detection
