Data Scientist | Entrepreneur | Educator
Educating, storytelling, leadership, research, customer relationship development, conflict resolution, problem solving
Python, Java, SQL, Mathematica, Generative AI prompt engineering, Software Design/Vibe Engineering, Full Stack AI-Native System Design
Supervised/Unsupervised Learning, Deep Learning, Timeseries Modeling, Sampling Techniques, GNNs, GenAI, Agentic System Design, AI-Era Debugging Workflows
GitHub/GitLab, AWS (EC2, S3, Athena), GPU acceleration, Scrum/Agile
Building AI-native infrastructure for human flourishing in the post-scarcity economy. Currently raising $125,000 to scale platform transforming underutilized professionals into successful AI-powered entrepreneurs.
Current Status: Pitch deck completed for InvestFest 2025, co-founder partnership established, proven personal transformation model (physicist → AI-powered creative entrepreneur)
Promoted from Data Scientist II to Data Scientist III (Nov 2021)
Human psychology & neuroscience, music creation & production, financial investment strategies, home inspection, creative narrative construction, developing GenAI pipelines
Capstone Project: Diagnosing Malaria with Machine Learning - Used standard ML, neural networks, and transfer learning (VGG16) for image classification, computer vision (Mask RCNN) for parasite identification
Minors in Mathematics & Computer Science