Bio

When I was in academia, my research centered on the study of the behaviors, interactions, influences, and changes that individuals of certain social roles go through in an online community. I’ve studied a variety of community contexts in Health, Social, and Enterprise. My work encompassed a variety of Computational and Research methods, ranging from experiment design to graph theory and machine learning. The insights I find are intended to be incorporated into systems and application design focusing on improving the accessibility and success for people. This work was done during my PhD work in the Human-Computer Interaction Lab led by Steve Whittaker.

Recently, I’ve shifted that focus to building robust machine learning tools through research and data-driven design focusing on improving the well-being and success of groups and individuals.

Professional Experience

• Lamini - Solution Architect/Lead Engineer
  • Pre and Post sales technical support through PoCs, demos, and training
  • Lead development of new features lead by customer feedback
    • MemoryRAG (Synthetic Data Retrieval Augmented Generation)
    • Agentic Pipeline (Workflows)
• Climate LLC (Bayer) - Senior Data Scientist
  • Built robust machine learning tools for farmers
  • Led research and data-driven design to improve agricultural outcomes
• C3.ai - Data Scientist
  • Specialized in deployable AI and MLOps
  • Focused on actionable insights and AI system explainability
• Quantiply - Data Science Lead
  • Developed Explainable AI solutions for Anti-Money Laundering systems
  • Led team management and recruitment responsibilities