I work as a senior consultant at Slalom, Inc., in the AI vertical of the Databricks Center of Excellence — a specialist practice group within the firm. I specialise in NLP and data engineering, developing and deploying AI/ML solutions on cloud platforms for clients.

Prior to Slalom, I worked on algorithms to analyse complex interacting systems. I graduated with a PhD in computational physics from Virginia Tech in December 2018, where I worked on Application of Network Reliability to Analyze Diffusive Processes on Graph Dynamical Systems with Prof. Stephen Eubank.

Question-answering systems, AI engineering on Databricks, chatbot applications, and text analytics, across financial services, healthcare, energy, and consumer goods. NLP LLM Databricks Cloud (AWS/Azure/GCP)

Detail: industry & consulting page

Data lake and warehouse implementations, predictive maintenance analytics, and large-scale data migrations, across healthcare, telecommunications, and nonprofit clients. Snowflake Databricks Data Pipelines Cloud (AWS/Azure/GCP)

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Moore–Shannon network reliability applied to epidemic spread and food trade contagion, using perturbative expansions and Bernstein basis interpolation to approximate the reliability polynomial for large graphs, where exact computation is intractable.

Detail: research page

• Physics Instructor and Graduate Teaching Assistant at Virginia Tech, USA
• Conference speaker and peer reviewer (NeurIPS, ICML, Physical Review E)
• Hiked 25+ national parks across the US, with plenty of wildlife sightings along the way

Detail: teaching page · outreach page