CS + Math @ Princeton | Data Science @ GE Vernova
- 🧰 Monitoring & Control Tools – Developing customer-facing systems to manage and monitor gas power plants at GE Vernova.
- 🧠 AI & Computational Neuroscience – Researching neural learning and representation with Dr. Sebastian Seung at Princeton University.
- 💹 NLP for Finance – Applying sentiment classification and language models to develop trading signals and enhance market strategies.
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Transformers Research – Investigated how scaling attention heads and hidden dimensions affects memorization under fixed parameter budgets, providing insight into architectural efficiency.
📄 Paper | 💻 Code -
Financial Sentiment Classification Research – Benchmarked updated models for entity-level classification in financial texts, significantly outperforming prior work and demonstrating stronger correlation with price movements than traditional sentiment-level methods.
📄 Paper | 💻 Code -
Pantry 2 Plate – A web app that recommends recipes based on what ingredients users already have, helping reduce food waste and streamline home cooking.
🌐 Website | 💻 Code -
Ray – A wearable necklace that uses Arduino and UV sensors to track sun exposure in real time, syncing with a mobile app to provide UV stats, sunscreen recommendations, and skin safety alerts.
💻 Code
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Deep Learning Foundations – Core ML theory and advanced topics like contrastive/self-supervised learning, transformers, diffusion models, interpretability, and fine-tuning large models.
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Computational Neuroscience & Biophysics – Studying how neural circuits compute and learn, with ties to brain-inspired AI and representation learning.
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Market Modeling – Studying trading strategies, volatility modeling, and how financial signals can be extracted and tested using real-world data.
- ✉️ Email: nv2608@princeton.edu