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Business Process Machine Learning

Location:
Jacksonville, FL
Salary:
165,000
Posted:
July 20, 2025

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Resume:

GREG WELENSON

***** ********** ******* **. ************, FL, 32257

215-***-**** (m) 904-***-**** (h) ***@******.*** OVERVIEW Expert platform/system/business process engineer with deep domain experience in telecommunications and government. Accomplishments include first-to-market, first-in-class VoIP'/UC products and services, innovative biometric identification solutions, complex business process redesign for Federal Government and major global telecommunications carriers.

US Government Consulting Firms – supported DHS CBP Technology Directorate and OBIM/HART in strategy development, system engineering, mobility, biometrics and advanced analytics/AI. Provided expert advise for the US Delegation to WCIT-2012 Conference on policy and technology, and to DHS/CBP on biometrics, mobility and analytics strategy. Served as technical expert/adviser for UCC/VoIP solutions to DISA, conceptualized and lead DARPA proposals for advanced machine learning applications. Designed process improvements and plans for new biometric modalities at DOJ (JABS) Supported capture efforts as SME and lead proposal writer for several USG Departments. Vonage - leading VoIP OTT Service Provider – built key differentiating services – LNP, E911, 311, Directory Assistance enabling customer growth from 1,000 to 450,000; member of NENA E911/IP standards team and FCC Working Groups on 911 and LNP.

Big-4 Consulting Firms – VoIP/UC SME: helped create measurement and analysis frameworks for redesign of the VoIP services for major global telecoms, built VoIP/UC portfolio of service offerings (NP suite, SOA and SaaS), re-engineered customer service for major European carrier, mentored account teams and clients on VoIP/SIP/911/NP Mobile Startups – built pioneering location-based applications for transportation and defense industries, researched markets and technology for speech recognition, wireless E911 and LBS. Team tech expert for sales to AT&T and General Electric. CLEARANCES:

DoD Secret Jan 2022 (current), DHS CBP Full BI - Public Trust (2016-2021), DHS OBIM Full Suitability, DOJ Public Trust -Current

EXPERIENCE

Biometrics Process Engineer -BruckEdwards Inc. 2023 -2024 Provided biometrics SME support to JABS/CAS program through business process improvements (DNA collection) and building plans for additional modalities (face, iris, palmprint). Worked on reviews of privacy assessments and other policy statements. Senior Cyber System Engineer – Peraton/NorthropGrumman Corp., 2020 – 2021 Provided system engineering support to DHS HART Biometrics system development. Responsible for requirements analysis and agile development streams support. Deep involvement in biometrcis-biographics integration, biometric fusion, Biometrics Support Center tools analysis and integration for fingerprints, face and iris. SAFe agile development environment with Atlassian tools. Reviewed service and system models built in NoMagic CAMEO.

Technical Architect, SME – Allied Mission Group, 2018 – 2019 Senior System Engineer supporting Office of Acquisition, CBP. Network design, machine learning SME in Modeling and Simulations Lab, examining proposed network designs and analyzing performance data using ADTI tools. Modeling in R and serving as biometrics SME. As biometrics SME analyzed requirements for CBP Biometric Exit solution. Evaluated various modeling and simulation products from commercial vendors, JHU/APL and Government. Applied DoDAF and FEAF standards for architecture review and planning. Technical Architect, SNA-International, 2017 – 2018 Designed technical architecture for the DHS Rapid DNA Pilot. Roles include developing use cases, integrating the Pilot in the OBIM/IDENT infrastructure, working with OBIM on development of DNA support as a new biometric modality: IXM and MIS interfaces. The Pilot is the first attempt to examine the use of DNA in Federal Identification/Verification space and includes direct match, kinship validation and kinship search. Used LucidCharts for use case specification, evaluated MBSE NoMagic tools for OBIM documentation. Senior SME – CBP, Digital Management Inc. (DMI), 2013-2017 Customs and Border Protection (CBP) Technology Directorate, Office of the CTO: senior SME, covering mobility, biometrics, enterprise messaging, network management, machine learning, deep neural networks. Developed enterprise mobility strategy and mobile application development sections of the Enterprise Technical Architecture, guided DoDAF and FEAF frameworks, API management strategy and requirements, expert support for CTO public events, support for Mobile Applications Development and Biometrics Centers of Excellence (CEEs). Interfaced with DHS teams on mobile security, SOPs and orchestration processes. Built big data/machine learning collateral and initial Deep Learning overview. Analyzed the deployment impact of VoIP, WebRTC, P2P protocols and blockchain, published a survey of biometric modalities and guide for biometrics application developers. As part of CEE team evaluated multiple vendors of face, iris, touchless fingerprint systems, face-recognition based impostor detection system, iris authentication system (EyeLock) and biometric exit process. Researched biometric modalities, fusion algorithms and middle-ware used for biometric identification and verification solutions, Apache transaction processing KAFKA/CASSANDRA.

Defense Division Technical Lead - SME, Pragmatics Inc., 2009 - 2013 Provided technical and policy expert support to DoD part of US WCIT-2012 delegation writing technology white papers, policy briefs, country regulatory environment analysis, Internet Governance issue briefs. Developed use cases, requirements and technology strategy for DCO IM/CHAT open source based replacement (DCS). Provided VoIP/UCC and SOA consulting expertise to various DoD projects and proposal writing teams, using DoDAF, ToGAF, UML and SySML. Served as resident expert in SIP/H.323/Jabber. Worked as lead expert writer on proposal teams for USAF/NetSense2, CBP, DoS for network management and integration services. Built DARPA Narrative Analysis proposal based on AI/NLP text analysis techniques. Summary of Industry Experience, 1980 – 2009

1997 – 2009 Managing consultant with Accenture and IBM Global Services designing VoIP/UCC service and process architecture based on development of pioneering VoIP solutions as product manager at Sonus Networks/Ribbon and Vonage. Clients included Telefonica, British Telecom, Telstra, AT&T, Verizon, O2. Developed strategies for transition from PSTN to VoIP voice for major telecom clients and redesigned customer service organizations to meet new, competitive business landscape. Presented to Board Room and senior network executives, lead CTO support teams. Lead many proposal team as solution architect and SME. Extensively used UML and IBM tools for system modeling and design.

1980 – 1998 Leading developer of fault tolerant OLTP applications and large SQL data bases based on Tandem Computers Non-Stop platform. Supporting major financial accounts for Tandem from 1981 to 1986 and as an independent consultant worked for industry leaders in cable TV, telecommunications, state government and logistics industries (Comcast, Sprint, Federal Express, Texas Medicaid Program, C.H. Robinson) on long-term software development, database design and performance tuning assignments. Designed industry first IP-based ACD control bridge, redesigned industry leading cable billing platform to run on IP networks, built AI based payments and channel management system. Expert in SS7, legacy PBX systems and call center operations. Extensive performance analysis experience using proprietary and standard tools. EDUCATION and CERTIFICATIONS

MBA – Edinburgh Business School, Heriot-Watt University, 1998 M. Sc., Telecommunications – University of Colorado, 2001 IEEE Certified Biometrics Professional (CBP) 2014

INCOSE CSEP (#07183) System Engineering Society 2021 Process Mining Certificate 2016

ITILv3 Foundations Level 2012

CATO Networks SASE Expert 2022

Neo4J Certified Professional/Graph Data Science 2022



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