
Jay Shah
Senior Data Scientist • 6sense • AI Applications & Foundational Models
About Me
I build machine-learning and language-model systems that have to work beyond the notebook.
At 6sense, I work on intent intelligence: foundational models with custom embeddings, model explainability, contextual knowledge graphs, and evaluation systems for large language model agents. The hard part is rarely choosing a better model. It is dealing with noisy signals, changing behavior, unclear definitions, and knowing whether a system is still trustworthy after it ships.
Before 6sense, I built retrieval-augmented generation systems, Model Context Protocol agent platforms, anomaly detection products, and foundation-model operations at Avathon. Some of that work supported more than 20 agent workflows and reduced model release cycles by 45%. Earlier, I worked on energy forecasting and failure prediction systems, including anomaly detection work that contributed to more than $500k in savings.
My graduate research at Texas A&M focused on predicting wind-energy failures. That experience gave me a lasting rule: a model that works in a notebook has made a promise, not proved anything.
I write about the systems I build, the assumptions behind them, and the parts that usually break. If something is on this site, it shipped or I learned enough from it to explain what happened.
Outside the Terminal
Cricket comes first. Tea, never coffee. Yoga is the habit that survived a newborn's sleep schedule.
I care about Indic languages and culture, especially the gap between the languages people speak and the languages most AI systems understand. Gujarati Llama started as a personal project because useful language technology should not be limited to English-speaking users.
I also read outside machine learning: systems thinking, philosophy, and energy policy. Some of my best technical ideas began as questions from another field.
Honors & Awards
- Winner at Ragathon by LlamaIndex (Feb 2024)
- Outstanding Master's of Science Student (Apr 2019)
- 2nd Runner-up at Texas Datathon by Citadel (Feb 2018)
Patents
- Calculating energy loss during an outage — US20230213560A1, Filed Dec 30, 2021
- Predicting energy production for energy generating assets — US20230214703A1, Filed Dec 30, 2021
- Dimension Measurement Using Image Processing — IN 201721044402, Filed Dec 11, 2017