I don't just build models — I own what happens after they ship. My background spans biosystems engineering, financial ML at scale, and production AI for global digital health products.
At every role I've pushed beyond the brief — shaping how AI gets evaluated, deployed, and measured against outcomes that matter.
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End-to-end NLP pipeline tracking social media sentiment across generative, physical, and industrial AI for Nvidia's automotive and robotics verticals. Transformer-based sentiment + BERTopic, delivered via Streamlit dashboards.
Attribute-based fashion recommendation app with a digital wardrobe browser and AI-powered outfit recommender suggesting matches via color theory and style attributes.
Semantic search and clustering using BERT Sentence Transformers and FAISS to map relationships across hundreds of academic theses. Showcased at CMU's Love Data Week.
Analyzed manufacturing telemetry to identify production bottlenecks; data models simulating process adjustments increased throughput without quality trade-offs.
If you're working on something interesting, I'd love to hear about it.