Experience

AI Squared

• United States
• Software Development
• 1 - 100 Employee

• Chief Technologist and Co-Founder

  • Nov 2021 - 2 years 2 months

  Planned, directed, and executed technology development of a multi-million-dollar valued company with customers in both the public and private sector; oversee multiple departments, efforts, and teams; interface with customers and partners across a variety of efforts Duties and Accomplishments: – Developed DLite, a family of lightweight ChatGPT-like models which range from 124 million parameters to 1.5 billion parameters – Plan and oversee the development of technologies built… Show more Planned, directed, and executed technology development of a multi-million-dollar valued company with customers in both the public and private sector; oversee multiple departments, efforts, and teams; interface with customers and partners across a variety of efforts Duties and Accomplishments: – Developed DLite, a family of lightweight ChatGPT-like models which range from 124 million parameters to 1.5 billion parameters – Plan and oversee the development of technologies built across multiple clouds, development environments, and programming languages – Serve as company Head of Research and Open Source – Maintain and lead company product-led growth strategy – Apply machine learning and technology development expertise to help develop cutting-edge technologies to help maintain and grow company’s competitive advantage – Managed multiple engineers, IT professionals, and business executives in the planning and development of company technology – Provided technical support leading to contracts with multiple high-profile customers across public and private industry – Contributed to company’s Free and/or Open Source technology stack by serving as primary developer for various projects released to The Python Package Index – Assisted in creating company technology plans contributing to company obtaining Series Seed Funding. – Was primary developer on an approximately $250,000 subcontract involving the integration of existing ontologies into end-user workflows for federal customers Show less



Microsoft

• United States
• Software Development
• 700 & Above Employee

• Delivery Data Scientist

  • May 2020 - Nov 2021

  Overview: – Provide data science expertise across a range of domains and application areas as a consultant and technical liaison between Microsoft and its federal customers Duties and Accomplishments: – Utilized deep learning expertise to create, train, and deploy machine learning models into proof-ofconcept tool which has been showcased to multiple government agencies – Assessed government requirements to help determine overall bid price and compile proposal materials on… Show more Overview: – Provide data science expertise across a range of domains and application areas as a consultant and technical liaison between Microsoft and its federal customers Duties and Accomplishments: – Utilized deep learning expertise to create, train, and deploy machine learning models into proof-ofconcept tool which has been showcased to multiple government agencies – Assessed government requirements to help determine overall bid price and compile proposal materials on multiple contract opportunities – Provided support to prime government contractor seeking to modernize existing system architecture and reliability – Worked as part of a collaborative team with government personnel and other company consultants to develop advanced cloud based analytics to secure customer enterprise environment Show less



WaveStrike

• Data Scientist

  • Jun 2019 - May 2020

  Overview: – Provided machine learning, analytic, and programming expertise in support of federal government researchers Duties and Accomplishments: – Worked with company leadership to expand business operations by submitting proposals to NSF and DoD customers to develop next-generation interpretable AI technologies – Developed multipurpose software to facilitate end-to-end text experiments. Capabilities include extracting and preprocessing text, training models with… Show more Overview: – Provided machine learning, analytic, and programming expertise in support of federal government researchers Duties and Accomplishments: – Worked with company leadership to expand business operations by submitting proposals to NSF and DoD customers to develop next-generation interpretable AI technologies – Developed multipurpose software to facilitate end-to-end text experiments. Capabilities include extracting and preprocessing text, training models with user-specified hyperparameters, aligning hypothesis and reference data, and testing model performance by multiple scoring metrics – Worked collaboratively to design and implement a system to iteratively obtain data from various sources and perform updates to BERT models by fine-tuning on this data utilizing a high performance computing environment – Developed application allowing researchers and developers to access and process streaming text data at ingest speeds on the order of 100s of documents per second – Worked with a small team of researchers, software engineers, and data scientists to improve neural network model performance on few shot text classification tasks Show less



United States Department of Defense

• Data Scientist

  • Jul 2018 - Jun 2019

  Maryland Overview: – Employed a variety of computer science, mathematics, and software engineering skills to derive strategies and tools for extracting meaning from datasets of varying size and organizational structure Duties and Accomplishments: – Researched and applied a variety of natural language processing techniques, including topic modeling, automatic stopword detection, and document similarity – Developed robust image classification models using data augmentation and image… Show more Overview: – Employed a variety of computer science, mathematics, and software engineering skills to derive strategies and tools for extracting meaning from datasets of varying size and organizational structure Duties and Accomplishments: – Researched and applied a variety of natural language processing techniques, including topic modeling, automatic stopword detection, and document similarity – Developed robust image classification models using data augmentation and image processing techniques – Engineered data pipelines and automation workflows to significantly reduce man-hours spent on repeated tasks – Created customized, installable Python packages to address project needs – Revamped the onboarding and initial training process for new data scientists – Interviewed external applicants applying to the data scientist position Show less



University of Maryland

• United States
• Higher Education
• 700 & Above Employee

• Graduate Teaching Assistant

  • Aug 2017 - May 2018