Mar 2023 – Feb 2025 · 1 yr 11 mos · Washington, District of Columbia, United States · On-site

• Spearheaded AI-powered biometric technology roadmap integrating facial recognition and fingerprint processing systems for nationwide identity verification infrastructure serving 35,000+ postal facilities
• Reduced false positive matching rates by 35% through implementation of enhanced machine learning models and optimization of biometric matching algorithms
• Served as technical liaison with FBI Criminal Justice Information Services (CJIS) for AI-based pattern recognition integration and cross-agency biometric data sharing protocols
• Architected NIST-compliant solutions incorporating AI-powered liveness detection, presentation attack detection, and anti-spoofing technologies meeting Federal Identity, Credential, and Access Management (FICAM) standards
• Developed edge computing architecture for on-premises biometric processing, reducing cloud infrastructure costs by 40% while maintaining sub-second response times
• Designed elastic, auto-scaling biometric infrastructure leveraging on-premises infrastructure for USPS handling 200,000+ daily transactions with 99.99% uptime
• Created Cloud Transition plan to help USPS transition their on-premise services to AWS cloud services

Feb 2022 – Feb 2023 · 1 yr · Sunnyvale, California, United States · Remote

• Led the product strategy and roadmap for computer vision across multiple platforms, including Alexa Devices and Ring Doorbell.
• Developed fairness framework for applying facial recognition while removing bias.
• created meteic-driven test methodology suite for computer vision for devices and handwriting analysis for Kindle Scribe.
• Conducted market fit analysis using AI-powered tools, informing a 3-year product vision and $10M+ investment decisions.

Aug 2021 – Feb 2022 · 6 mos

• Defined biometric API product requirements and neural network architecture specifications, coordinating Research Scientists, Engineering, and QA teams through agile development cycles
• Managed ML model release lifecycle including versioning, A/B testing, performance benchmarking, and production deployment across cloud and edge environments
• Created unified cross-platform SDK supporting Android, iOS, Windows, Linux, and specialized computer vision accelerators, enabling 40% faster customer integration
• Collaborated with government agencies in both the U.S. and U.K. on algorithm performance testing including speed, accuracy metrics, and presentation attack detection for NIST FRVT evaluation

Aug 2020 – Aug 2021 · 1 yr

• Architected an enterprise-scale biometric identity verification system utilizing machine learning for enhanced fraud detection.
• Provided technical program management for the FBI fingerprint integration, processing over 200,000 daily transactions.
• Advised stakeholders on compliance with NIST SP 800-63 digital identity guidelines, implementing multi-factor authentication and ML-based risk scoring.

Aug 2019 – Aug 2020 · 1 yr · Washington D.C. Metro Area

• Led 15-person engineering and R&D team implementing real-time computer vision solutions using deep learning frameworks for retail analytics, managing product development from requirements through delivery while coordinating with CEO on budget and timeline constraints.
• Transformed system architecture leveraging Docker containerization and Intel OpenVINO toolkit for optimized AI model inference on edge devices, streamlining operations and reducing deployment complexity.
• Directed R&D initiatives focusing on neural network advancements, age and gender classification, and object detection for audience measurement applications, driving innovation in biometric technology to create best-in-class products.
• Established organizational vision and implemented policies aligning technology development with industry standards, privacy requirements, and regulatory compliance by collaborating with external privacy organizations and local jurisdictions.
• Coordinated cross-functional stakeholder management across customers, industry leaders, and senior leadership to ensure platform delivery met performance criteria while balancing competing priorities and managing resource allocation between internal teams and external contractors.

Nov 2017 – Aug 2019 · 1 yr 9 mos · Washington D.C. Metro Area

• As the chair of the IBIA’s Advances in Biometric Technology Working Group, I focused on advancing knowledge and information about biometrics and use cases through blog posts, papers, and meetings about new and emerging biometrics and identification technologies - including facial, iris and voice recognition, DNA, gait recognition, vein recognition, and innovations in fingerprint technologies and how they can be effectively used by governments, commercial enterprises and consumers.

Jan 2017 – May 2018 · 1 yr 4 mos · Fairfax, Virginia

• As an adjunct professor at George Mason University, I developed lesson plans to teach biometrics in the Forensic Science department for graduate students. Students were expected to learn how to measure the performance of biometric algorithms as well as how to use manual and automatic biometric comparison techniques commonly used in government programs.

Jun 2016 – Aug 2019 · 3 yrs 2 mos · Arlington, VA

• Deployed large-scale biometric solutions for federal customers including DHS IDENT/HART system managing 260M+ identity records with AI-powered matching, coordinating across research laboratories, innovation labs, and deployment teams to deliver customized technology solutions.
• Transitioned cutting-edge ML research from NEC laboratories to production systems, reducing time-to-market by 45% through streamlined technology transfer processes and coordination between domestic and international development teams.
• Designed ML-based multimodal identity verification solutions incorporating facial recognition, fingerprint, and iris biometrics for government agencies, working with senior leaders and stakeholders to align technology with operational requirements and privacy standards.
• Evaluated biometric and non-biometric technologies through RFQs, RFPs, and RFIs to modernize federal systems, analyzing business requirements and refining solutions based on user performance and accuracy testing.
• Led internal change initiatives to expand organizational capabilities beyond core offerings, collaborating with technology and privacy organizations to deliver innovative solutions addressing wider array of customer needs while managing unfamiliar technology implementation and deployment.

Feb 2014 – Jun 2016 · 2 yrs 4 mos · Washington D.C. Metro Area

• Architected Department of Defense Automated Biometric Identification System (ABIS) incorporating advanced machine learning algorithms for multi-modal matching, coordinating matrixed teams to develop and implement large-scale biometric solutions for state and federal government programs.
• Implemented biometric enrollment and verification processes for state and federal biometric programs serving 50M+ registered users, working directly with customers including state DMVs and federal agencies to transition to new technology and biometric algorithms.
• Pioneered FIDO-compliant biometric authentication solutions integrating authentication with liveness detection, defining processes for digital identity documents including mobile Driver's License (mDL) and emerging authentication standards to enhance the field of digital identity.
• Documented requirements and created solutions to enhance operational capabilities across multiple stakeholders, helping customers understand performance and accuracy aspects of biometric technology while developing implementation plans and transition strategies.
• Planned and executed MorphoTrust USA customer experience center incorporating hardware components and custom-built mobile and desktop applications for biometric demonstrations, creating comprehensive showcase environment for stakeholders.

Jan 2013 – May 2013 · 4 mos

• Professor of Video Game Design at the University of Notre Dame. This course focuses on the design process of video games and what makes them so compelling. Topics covered will range from the story and social experience of video games to the economies and rules of the simulated world including history, genres, storylines, gameplay elements and ethical implications. Students work in teams over the course of the semester to develop a video game on the Xbox gaming console using XNA and C#.

May 2009 – Jan 2014 · 4 yrs 8 mos

• As a graduate student at the University of Notre Dame, I conducted research full-time in the field of biometrics focusing of facial identification technology and performance on identical twins. My research included facial annotation and extracting facial marks from subjects in order to increase the accuracy of facial recognition. To perform this task, I acquired knowledge in craniofacial growth, with familiarity in medical terminology relating to the face, and facial recognition techniques, using both commercial and open source code.

May 2010 – Feb 2014 · 3 yrs 9 mos

• Conducted advanced biometrics research in computer vision techniques, facial recognition algorithms, and machine learning for identity verification. Enhanced object tracking algorithms in live video feeds using machine learning, improving detection accuracy by 28% for DoD surveillance applications. Led pioneering research in contactless vital signs measurement (pulse, respiration) from video using computer vision techniques, resulting in published IEEE papers.

Apr 2009 – May 2009 · 1 mo · Internationally

• "Using Facial Recognition to Secure the Homeland and Enhance Customer Experience", Federal News Network, "https://federalnewsnetwork.com/federal-insights/2018/10/facial-recognition-keeps-advancing/", October 2018
• "Next Generation Travel: Using Facial Recognition to Enhance and Secure the Customer Experience", Hotel Technology Next Generation (HTNG), October 2018
• "Secure digital identities for next-generation air travel: Using biometrics to bridge the gap curb-to-destination", Aviation Festival London, September 2018
• Securing the Internet of Things, connect:ID, May 2018
• Cyber Workforce, Charleston Defense Contractors Association, December 2017
• Human Identity System Interaction, Federal Identity Forum & Exposition (FedID 17), September 2017
• “A Statistical Analysis of EVE Online”, Mathematical Association of America, Illinois Chapter, April 2009