A unified hub documenting my engineering research, architectural innovations, and continuous mastery across Advanced Machine Learning and Cloud-Edge topologies.
Having built a career as a partner-level executive managing high-impact portfolios—steering large-scale delivery across Salesforce and global cloud ecosystems (AWS, GCP, Azure)—I possess a unique perspective on technological transformation.
My engineering roots run deep. I specialize in architecting massive cloud-edge topologies, specifically utilizing the Cloudflare Ecosystem (D1 for serverless SQL, R2 for highly-scalable object storage, and Vectorize KVs) to build blazing-fast semantic search engines and zero-latency GenAI vector pipelines. Whether I am looking closely at the mathematical "trees" of an algorithm, I am constantly engineering for the "forest" of the macro enterprise architecture.
"Governed by a strong value system, I bridge the chaotic gap between elite AI innovation and strict P&L governance. Master the math, but relentlessly scale the business."
9-month program with UT Austin McCombs (Dec 2025 – Sep 2026) — Python, ML, Advanced ML, Neural Networks, NLP with GenAI, AI Agents, Model Deployment + 5 self-paced modules. 9 applied projects, A+ in 6 of 7 core modules.
Google's AI courses including TensorFlow Developer Certificate, Machine Learning Crash Course, and Generative AI learning paths.
Specializations from Stanford, DeepLearning.AI, and other top institutions covering deep learning, MLOps, and AI applications.
Hands-on courses for practical skills — Python for data science, ML A-Z, deep learning, and specific tool mastery.
Personal projects, Kaggle competitions, research papers, experiments, and hands-on explorations beyond structured courses.