- [email protected]
- 720 864 1012
- Lead for Prompt Engineering and prompt management
- Technical prompts leveraging model outputs to generate human expressive explanations
- Integration of guardrails-ai
- Prompt analysis through Weights & Biases (wandb.ai)
- RLHF system established through Arize (arize.ai)
- BERT modeling
- Domain rules
- Cosine Similarity
- TF/IDF
- XGBoost
- Segmented Random Forest
- Structured and novel methods for assessing model fitness
- Bayesian data framework (older version)
- Productized solution for Fargate ECS w/ Step Functions
- Structured process for mass training on Sagemaker Training
- Advanced visualizations using Plotly Dash
- Graduated to visualization and reporting on Weights & Biases (wandb.io)
- Adopted Arize for visualization of production model performance (arize.ai)
- Developing full MLOps solution on Sagemaker & Bedrock utilizing MetaFlow
- CV -- Scuba Steve
- Human-assisted rapid annotation
- Pixellib
- MaskRCNN on Tensorflow
- DeepMask / SharpMask on PyTorch
- Dash web app
- Identify hands entering equipment during operation
- Flare operational status
- Robocar - hobby project to get autonomous car around a track
- Human-assisted rapid annotation
- Predictive Maintenance
- Oil pump behavior monitoring and tagging
- Oil and Gas equipment downtime and PHM
- Robotics
- minor degree in Controls Theory
- first eight years of career was micro-robotics ... digital controls theory
- ML @ Seagate
- Sr. Director of Corporate Division for ML & DS
- Managed through CRISP-DM
- Co-developed internal DS University
- Lead ML over 14 data scientist
- Sr. Director of Asia-wide team developing AI Failure Analysis of Hard Disk Drives
- Massive Random Forest project to analyze 3M+ returned drives per quarter
- Enabled finding true primary issues vs. "most recently returned."
- Led to a significant reduction in quality control assessment
- Ultimately reduced FA staff from 600 to 350
- 90-day report on forecast problems reduced to 3 days
- Sr. Director of Corporate Division for ML & DS
- University of Texas Austin - MSAI - ECD May 2025
- Reinforcement Learning -- in progress
- Natural Language Processing -- in progress
- Fourth Brain AI building with LLM - completed May 2023
- Fourth Brain AI program on MLE - completed Oct 2021
- Regressions
- Neural Networks
- Capstone: automated annotation and training with unknown objects in images
- University of Colorado MS in Data Science - stopped to transfer to UT Austin program
- Courses completed
- Ethics in DS
- Basics in HPC
- Algorithms
- Courses completed
-
Years overseas running multi-country division
- Worldwide ownership for Global Failure Analysis Strategic Planning
- 7 campuses in Thailand, China, Malaysia, Korea, Singapore
- Two years living in China, two years living in Thailand
- WW Customer Service ... constant contact with key customers
- WW Failure Analysis ... leadership for all 12 campuses
- Massive project using Random Forest
- Increased visibility to critical problems by 100%+++
- Reduced staffing from 600 - 350 over three years
-
Before that, many leadership roles. Key skills
- Project management
- Firmware/software delivery (SCRUM / Agile)
- Firmware task awareness/development
- Multi-team collaboration
- Strategic alignment between divisions
- Torch -- UT Austin NLP
- Tensorflow2 -- Deeplearning.ai
- John's Hopkin's -- Data Science in R
- Stanford DS -- Machine Learning in Octave (Matlab)
- Business Management -- Harvard Business School
- Six Sigma Black Belt
- Problem Solving & Decision Making -- Kepneger-Tregoe
- Telecommunications -- BSEE
- Controls Theory -- sub-degree during BSEE