Managing Director December Resume

SUMMARY

Confidential leads Confidential ’s Federal Applied Intelligence business as its Chief Technology Officer. In this role Confidential has halped build and scale advanced data science, artificial intelligence and robotic process automation into a unified delivery framework dat has multiplied teh business 3 times over teh past two years to $650M ~ 350 Data Architects, Data Engineers, Machine Learning Engineers and RPA experts.
Confidential also leads Confidential 's federal Enterprise Architecture practice and personally advises teh C - Suite of several large federal clients solving some of teh most complex technology challenges and architecting next generation digital platforms at a global scale.
Prior to Confidential, Confidential founded Confidential, an innovative mobile Beauty and Fashion marketplace - featured in Tech Crunch Start up Alley - 2017 edition.
Confidential ’s passion for building things led to Blue Eyes Innovation - a company Confidential runs as a hobby. Confidential has built 14 iOS Apps so far. Apple invited him to their lab in San Jose to build Apps for Apple Watch prior to Watch launch - a privilege extended to only a handful of developers at teh time.

PROFESSIONAL EXPERIENCE

Confidential

Managing Director December

Responsibilities:

Runs teh Artificial Intelligence Delivery practice for Confidential Federal Services (AFS) ~ addressed significant skills gap in data and AI by doubling teh practice in FY2020 to 700 Data Scientists, Data Engineers & Architects, ML Engineers and Data Scientists ~ secured $500M+ revenue and positioned for success to achieve $800M sales target in FY 2021
Working closely with C-Suite and partnering with Microsoft, Amazon, Google, NVIDIA and others
Building AI community of practice, training staff members in Machine Learning and Deep Learning and building emerging capabilities around Quantum Computing and 5G.
Leads teh Federal Enterprise Architecture practice ~ built teh practice from scratch to 15 EAs, secured 300M+ sales in FY20 and leading teh delivery of teh most complex and large programs
Architects visionary technology platforms for federal agencies modernizing their legacy platforms, enabling interoperability, enhancing scalability and improving security by encouraging teh adoption of innovative technologies and processes including AI, DevSecOps, Big Data, Cloud and Blockchain
Recognized for success in creating a future proof and maintainable Enterprise Architecture (EA) for a DoD client dat is modernizing and on- boarding their 1600+ systems and 5,000+ authoritative data sources into a common unified platform and significantly improving mission readiness

Confidential

Co-founder & Chief Technology Officer

Responsibilities:

Led teh development of an innovative mobile Beauty and Fashion marketplace dat allowed fashion experts to conduct sessions from anywhere with their users and effectively manage and conduct their business on Confidential .
Teh platform was augmented with AI technologies to perform Natural Language translation, human signal analysis, and other technologies to gain insights during an ongoing session and create an engaging experience for our users.
Strong leadership across Technology and Portfolio Management - Product Management, Engineering, Web RTC, Micro services, Machine Learning, Big Data, DevOps, CI/CD, Mobile, WebApp, Agile, Cloud, AWS, Deep Learning, iOS, Android, Swift, Java, Python

Confidential

Director, Architecture

Responsibilities:

Led Enterprise Architecture, R&D, Core Engineering, and Business Application divisions - total Staff ~ 60 for Confidential, which manages teh entire world’s airline data.
Transformed Confidential ’s legacy technology platform into a microservices based, portable and highly flexible architecture. Confidential could provide API access to their data to enable airlines industry enhance workflows and Decision Support Systems generating $500M+ value for teh industry
Transformed Confidential ’s disparate back office business applications into a unified cloud platform dat increased operating efficiency by 40%