- Using ML, LLMs, and Stats to solve problems in the Governance, Risk, and Compliance space.

- Created a podcast on blockchain, digital currency, and NFTs, achieving a 4.4 rating on Apple Podcasts.- Distilled difficult technical concepts into educational podcast episodes with nearly 10,000 downloads.- Served as an educational and strategy advisor across multiple Discord servers in the NFT space.

- Created polymorphic radar classifier, supplying a new capability for a cognitive radar system to identify intelligent enemy radar systems.- Adapted the BERT language model to a hate-speech classification task, boosting performance from 70% to 90+% accuracy.- Helped lead machine learning and analytics development team, including writing funding proposals leading to multiple millions of dollars in new funding.- Developed social network analysis libraries making it possible to quickly utilize multiple graph backends under a unified interface, saving development time and increasing analysis flexibility.- Mentored junior staff, conducted code reviews, lead sprint planning and retrospectives.

- Lead the analysis team in creating medical claim insights for our HealthPass application.- Created our first medical claim re-adjudication prediction model slated to be included in HealthPass to save customers time and money.

- Developed and deployed our record linkage ML system in AWS using EMR, PySpark, S3 and DynamoDB.- Built and managed our ETL pipelines making daily batches possible in the cloud for the first time.

- Used graph analytics to discover and characterize important individuals in social networks, drastically reducing analysis time over manual methods.- Developed backend analysis services that supplied political campaigns the ability to understand their constituent base position on important political issues.- Created the Facebook data collection service allowing us to crawl and collect thousands of profiles and their interactions automatically.

- Analyzed Eigengene expression and glioma MRI feature relationships with concluding results to be included in a future paper.- Created a scalable feature extraction pipeline in Python for 3D glioblastoma MRI images, clearing the way for their use in downstream analysis.

Developed an object localization model that leverages contextual relationships between objects,resulting in an order of magnitude speed up in performance over baseline methods.Applied various computer vision and machine learning algorithms to object localization tasks.

Developed a compiler, written in Haskell, that translates linear programming constraintspecifications into executable Datalog programs, saving substantial development time.

Developed a modular Silverlight UI design which facilitated rapid prototyping of new displays. Integrated the AES encryption and FTP components for a novel approach to firmware-over-the-air in commercial vehicles, configured and managed the project FTP server.Deployed the Silverlight application to an embedded device and connected UI animations with CAN signals

- Developed an automated foreign exchange trading software system.- Directed corporate activities and presided over board meetings.- Organized company resources.- Presented proposals to potential investment clients.- Managed client portfolios.- Coordinated product development activities and maintained investor relations.