Building applied AI systems that drive measurable business impact.
Deep technical expertise and domain experience across retail and healthcare operations, and health economics and outcomes research.
What I Do
Core capability areas across applied AI/ML and decision science.
GenAI & Agentic AI
Agentic RAG systems, LLM fine-tuning (LoRA/QLoRA), embeddings, orchestration, evaluation workflows, context engineering, and AI architectures.
Machine Learning & Deep Learning
Recommender systems, time-series forecasting, classification, and regression using bagging and boosting algorithms.
Operations Research & Optimization
Linear programming, mixed-integer programming, discrete-event simulation, approximate dynamic programming, and multi-criteria decision analysis.
About
I'm a AI/ML Developer with a PhD in Applied Operations Research and 10+ years of experience designing and deploying advanced analytics and AI solutions using recommender systems, predictive models, prescriptive optimization engines, and agentic AI systems across retail and healthcare operations.
My work spans the full model dev lifecycle — from feature engineering to model development, validation, deployment, and stakeholder communication. I bring deep expertise in Python, SQL, Spark, Databricks, and MLflow, with a strong track record of translating ambiguous business problems into scalable solutions and measurable outcomes.