Applied mathematician and AI scientist who is passionate about energy policy, biogerontology, and automation. My previous experience includes graph machine learning, computer vision, and open-ended question answering systems. Currently working on long document summarization and deep reinforcement learning for robotics.
- Design and build data and machine learning pipelines - Expose ML services as API endpoints in Kubernetes - Architect lowest cost ML infrastructure - Implement a GPT4 + RAG powered chat bot to allow customers to talk to their structured data
- Architect and implement data pipelines for machine learning development - Long document summarization and question answering with Hugging Face Transformers - Design and construction of machine learning services with Docker and Kubernetes on Azure - Development of novel Speech-to-Text methods with SpeechBrain - Distributed training of large models with DeepSpeed - Assist co-workers in obtaining machine learning skills with Python - Evangelize MLOps and DevOps best practices
-Open ended question answering systems with Theano and PyTorch - State estimation, planning, and dynamic control of humanoid robotics with MuJoCo, Unity, and Drake - Deep reinforcement learning agents that play games with TensorFlow and PyTorch - Applied multi-modal computer vision research using PyTorch, Caffe, MS COCO, and Visual Genome - Open source and commercial software development and consulting services
- Guide data science products from local development to AWS production environment - Architect machine learning workflows in the cloud - Evangelize modern best software engineering practices around MLOps in the cloud - Research and development of new data science products - Machine learning product management
- ETL development with Airflow, Spark, and AWS Redshift - Data visualization with AWS Quicksight - Python training lead - NodeJS microservices with AWS Lambdas for real time data analytics - Data and machine learning solution architecting - DevOps best practices with Jenkins, BitBucket, and Git
- Visual relation detection, Scene graphs, and Semantic segmentation of images - Design of algorithms for graph deep learning at scale and applications to traffic modeling - Software engineering with Go, Linux, Docker, Flask, Python, and C/C++ - Graph database engineering with gremlin, neo4j, and huawei graph engine service
- Development and Implementation of AutoML systems - Applied Natural Language Understanding
- Creation of automated ETL tools using Pandas and MongoDB - Strategic insight through analysis of time series data - Developed novel web scrapers for data acquisition
- Text Categorization and Sentiment Analysis with AzureML - Data Munging with SQL and Python - Data Science training and consultation
- Image processing and digital embroidery software engineering with CUDA and C++ - Build and test engineering with Python - Data analysis and strategic insight with Python
- Developed software to repurpose FDA approved compounds through combining atomic level knowledge of compound-protein interactions with compound-disease associations which was able to identify a known use for over one in four FDA approved drugs which passed an initial screening against the human genome
- Created method to simulate single nucleotide polymorphisms and used Gaussian anomaly detection to identify mutations which effected gene function
Focus on Data Science, Scientific Computing, and Robotics
Focus on Quantum Field Theory and Longitudinal Optics
Like most people, I enjoy spending time outside when I am not working. Whether it is riding bicycles, hiking, going on picnics, or just bringing a book to the beach, I can never get enough time outside in nature.
I am an avid reader of science fiction. If there's no space or advanced technology in a novel, I'm usually not very interested in reading it. If I'm not curled up with a cheap ebook in my spare time, I'm likely cooking delicious food, or writing in my journal.