- Guided the strategy and efforts in creating revolutionary Generative AI enabled products and features in an established Enterprise product across multiple teams.- Upleveled and inspired product and technology strategy and execution using data and AI to drive ROI.- Built a successful and highly productive research program working closely with a wide range of partners.- Led technology leadership in prompt engineering, fine-tuning, and data for AI product research and development on complex and ambiguous problems.- Maximized impact through pragmatic decisions and focused execution using careful consideration of the trade-offs of the business.-Boosted the visibility of AI/ML research through research external presentations, conferences, and publications.

- Led Artificial Intelligence (AI) product development of a food logging mobile application that identifies 100 classes of foods and determines nutritional information from a single overhead image in a 6 month period.- Enabled capture and annotation of 60,000 food images and depth maps in a 4 month period for training deep learning models focused on segmentation, classification, and volume.- Reduced product complexity and cost by 99% by envisioning and overseeing the migration of deep learning models onto the mobile device from the cloud. - Set product scope and timelines; managed international team in AI / deep learning model research, development, and productization to meet product requirements. (Python, Tensorflow, Google Cloud)- Reduced project budget by 80% by sourcing and leading a team of international AI/ML engineers, researchers, and software engineers better suited for the product and timelines.- Championed the communication and writing of technical product design documents focused on cross-team dependencies, APIs, and data structures.- Created a ranked list of differentiating features by reviewing competitor products to determine the core functionalities and established use paradigms.- Determined gaps in knowledge of the customer required for product-market fit and communicated with user research teams in collecting, analyzing, addressing these gaps.- Helped hire and retain talent - help with sourcing and selling to candidates as well as vetting them for the team.- Led research efforts in Natural Language Processing (NLP) product for recipe parsing and ingredient matching.

- Led efforts for integrating cutting-edge AI technologies into cloud and firmware software products.- Designed and guided C-levels through company strategy workshops for core competency alignment, idea brainstorming and prioritization, and formed roadmap for data, cloud, and machine learning strategy in product and hiring. - Reduced data storage costs and improved product maintenance costs through leading a cross-functional international team in implementing best-practices in cloud architectures. (AWS)- Convinced leadership of a product pivot that lead to focusing on the product’s current star feature by leading workshops, analyses, and presentations.- Partnered with UX research lead to conduct a rapid user study to validate customer assumptions and determine product technical requirements.- Architected, implemented, and managed production the entire cloud system responsible for operation of the IOT products using testable, scalable, and production coding standards that integrated with multiple internal and external customers.- Helped hire and retain talent - help with sourcing and selling to candidates as well as vetting them for the team.

- Built Generative AI and NLP systems for fast moving startups.- Offered strategy and technology advice on AI, data, and machine learning for a new product development initiative.- Reviewed cloud solutions for several technology start-ups and offered cloud, data, and machine learning architectural guidance.- Led Fortune 100 client’s team of data scientists and engineers in development of automated machine learning price-demand modeling tool.- Investigated and presented on various deep learning frameworks and packages for image recognition and reconstruction for DARPA hard problem. (TensorFlow)

- Mentored, managed, and led machine learning teams from planning through productization of identity resolution product to enable the full view of identity leveraging AWS services and big data technologies.- Saved $1MM / year in cloud compute costs by leading a cross-functional team to launch a new identity resolution product for adtech linking offline and online data for 90% of USA.- Managed the machine learning components of the identity resolution portfolio which required processing of terabytes of data daily. (AWS, Qubole, Spark)- Consulted as a technical and strategic expert with the new initiative team on evaluating the performance and establishing the requirements for a new potential product. - Balanced immediate impact and long-term company needs, as well as managing resourcing and prioritization.- Designed and implemented production machine learning products using testable, scalable, and production coding standards that integrated with multiple internal and external customers.- Helped hire and retain talent - help with sourcing and selling to candidates as well as vetting them for the team.

- Managed, wrote code, and led cross-functional team from product vision through functioning prototype launch for a scalable, automated, and secure Spark-based cloud analytics application for a government agency using AWS.- Led multiple customer engagements with internal and external stakeholders, translated user interviews into technical requirements and determined implementation and schedule for product.- Managed an AWS security consultant and participated in architecture design reviews to meet CJIS (Security) reqs.- Quickly grew a machine learning productization team from 1 to 5 persons to aid in addressing the Heroin epidemic using cutting-edge technologies and massive data sets. (AWS, Databricks, Python, Spark)- Conducted ad hoc analyses, wrote back-end Pyspark network analysis code, developed front-end D3 visualizations, and setup cloud infrastructure using AWS managed services.- Investigated legacy products and processes and provided thought leadership, which addressed training pain-points and reduced cost, streamlined customer trials, and reduced time to market for new products.

- Communicated, architected, and developed a HPC job manager product through leading a cross-functional machine learning team using Spark, Cassandra, and MongoDB. - Architected and developed distributed data analytics software products using Spark, Cassandra, and MongoDB.- Mined, analyzed, and presented findings from various data sources using Python, R, and JMP.- Integrated R, Python, and Hadoop data analytics capabilities for analyzing large unstructured text files.- Developed project plans and presented use cases to upper management.- Lead a team of 4 data scientists and engineers in development of automated machine learning API for cloud-based applications.

www.automatefitness.com- Started from an idea generated at Start-up Weekend in October 2013 in Pittsburgh, PA.- Track sets, reps, and workout automatically using accelerometer and bluetooth data.- Differentiate various workouts using statistical and time-series data and visualize the information for users.- Create business plan and sales distribution strategies for investor presentations.

- Aided in redesign of $MM product issue by analyzing time-series sensor data, conducting simulation / optimizations, and visualizing trends for management design trade-off.

- Conducted theoretical and applied research for various industry and government products in the areas of machine learning, product design, software engineering, system engineering, and optimization.

- Generated kinematically correct motion primitives for autonomous path-planning of ground and aerial vehicles.- Enabled analysis of maximum performance path generation for helicopter mission critical maneuvers.

- Conducted research on military cargo delivery capability gaps, developing requirements for future delivery systems. - Developed global design and optimization technique, providing guaranteed bounds on feasible design space.

- Developed reliability assessment tools for Orbiter Composite Overwrapped Pressure Vessel Team to produce new tank loading/unloading procedures on the space shuttle. - Assessed damage potential and possible solutions for faulty Tyvek covers used on thruster system on launch pad of the space shuttle and updated Orbiter Hazard Report Analyses.

- Modeled a coal feeder pipe subsystem and potable water flow diagrams using CAD software for 2GW coal-burning power station. - Participated in start-up procedures for a $1.3 million Reverse Osmosis Unit and assembled an operation manual including general operating and cleaning procedure.