Technical, AI & ML
Applied GenAI shipped end to end, PyTorch deep learning on high-performance computing, and a comparative cloud data-platform evaluation, with reliability, cost and evaluation treated as first-class concerns.
Vergence: Automated Data Quality and Reconciliation Pipeline
A controls-first pipeline that measures where two independent sources disagree, with one language-model step held behind a human approval gate.
Agentic AI Workflow for Scalable Document Generation
A nine-agent LangGraph orchestration that generates tailored application documents with a hard truthfulness constraint.
Retrieval-Augmented Azure OpenAI Assistant
An internal knowledge assistant that answers staff questions on products, policies and procedures in natural language.
AI-Driven Melanoma Detection
A PyTorch deep-learning model for classifying dermoscopic melanoma images, built for early-detection use in healthcare.
Generative Adversarial Network for Image Synthesis
A Wasserstein GAN that generates high-resolution synthetic faces to address data scarcity.
Sparse Random Projection for Medical Image Analysis
A feature-extraction pipeline that compresses high-dimensional medical imaging while keeping diagnostic signal.
Cloud Data Platform Evaluation
Benchmarked Snowflake, Azure Synapse and Amazon Redshift for AI and ML workloads and large-scale analytics.