Vetted Release Management Professionals

Pre-screened and vetted.

JZ

Senior AI/ML Engineer specializing in applied AI and scalable backend systems

Palo Alto, CA14y exp
WaymoHarvard University
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Timothy Washington - Senior Product Manager specializing in AI-powered products and responsible AI in Cranbury, NJ

Timothy Washington

Screened ReferencesStrong rec.

Senior Product Manager specializing in AI-powered products and responsible AI

Cranbury, NJ18y exp
GoogleUniversity of Massachusetts Amherst

Mission-driven product and program leader who built WhatsApp’s talent inclusion infrastructure from scratch and later applied AI at Google to scale inclusive product evaluation across 25+ teams, including Gemini. Brings a rare mix of product systems thinking, human-centered AI judgment, and lived experience growing up in public housing that deeply informs their focus on equity, access, and accountable technology.

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GA

Director-level Engineering Leader specializing in mobile, video, and consumer platforms

San Jose, CA23y exp
GoogleCarnegie Mellon University
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MS

Staff-level AR/VR and mobile engineer specializing in immersive video platforms

San Bruno, CA11y exp
GoogleAlexandria University

Game engineer with hands-on experience shipping systems for Horizon Worlds, including a notification platform that unlocked friending, invites, and achievement/prize UX. Also brings applied LLM gameplay experimentation, multiplayer networking/debugging expertise, and cross-platform VR/mobile experience spanning Meta Quest and Android.

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Robert Parrott - Executive technology architect specializing in cloud platforms, SRE, and enterprise SaaS in Boston, MA

Executive technology architect specializing in cloud platforms, SRE, and enterprise SaaS

Boston, MA18y exp
NexthinkHarvard University
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AK

Director-level AI/ML Product Leader specializing in computer vision, robotics, and AR/VR

Santa Clara, CA18y exp
NVIDIAUC Berkeley
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JS

Executive Digital & Technology Leader specializing in enterprise transformation, IoT, and e-commerce

Palm Beach Gardens, FL17y exp
CarrierHarvard University
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SD

Staff Software Engineer specializing in backend systems for healthcare and FinTech

Munster, IN10y exp
Powers HealthCarnegie Mellon University
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MW

Senior Software Engineer specializing in backend, AI workflows, and distributed systems

Menlo Park, CA11y exp
MetaUniversity of California
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JA

Executive Technology Leader specializing in cloud, datacenter operations, and AI strategy

Kirkland, WA11y exp
Atos
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Daozheng Chen - Staff Full-Stack AI Engineer specializing in FinTech and Enterprise SaaS in San Jose, CA

Daozheng Chen

Screened

Staff Full-Stack AI Engineer specializing in FinTech and Enterprise SaaS

San Jose, CA12y exp
YahooUniversity of Maryland, College Park

Full-stack engineer with Yahoo Finance experience building AI-powered investment and analytics features. They combine modern TypeScript/React/NestJS development with strong backend systems skills in PostgreSQL, Redis, Kafka, and Kubernetes, and have driven architectural improvements from synchronous workflows to event-driven microservices in a high-traffic financial environment.

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KK

Director-level product leader specializing in AI, data, and FinTech products

Hoboken, NJ14y exp
UnileverHarvard Business School

Product leader at Mastercard who has repeatedly built and commercialized AI-driven fraud products across payments and healthcare, including a patented ML approach and a fraud suite that won 30+ enterprise customers in its first year. Stands out for combining deep ML product judgment with workflow design, explainability, and human-in-the-loop thinking to drive real operational change.

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Tasnim Khandakar - Mid-level Software Engineer specializing in backend, infrastructure, and data platforms in San Francisco, CA

Mid-level Software Engineer specializing in backend, infrastructure, and data platforms

San Francisco, CA5y exp
MetaUC Berkeley
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PX

Executive Technology Leader (CTO) specializing in AI-Native Enterprise SaaS and Platforms

Hangzhou, China20y exp
HOSE Inc.Carnegie Mellon University
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RK

Executive engineering leader specializing in AI/ML platforms and SaaS product development

Saratoga, CA26y exp
TravWiz AI Inc.Wharton School
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EL

Senior Software Engineer specializing in full-stack systems and cloud infrastructure

New York, NY8y exp
GoogleBinghamton University
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SR

Executive Engineering Leader specializing in data platforms, AI/ML, and fraud detection

Chicago, IL20y exp
AmazonUniversity of Michigan
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JS

Senior Software Engineer specializing in Applied AI, Identity, and Distributed Systems

27y exp
MetaShanghai Jiao Tong University
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BS

Senior Technical Program Manager specializing in AI, cloud infrastructure, and distributed systems

Sunnyvale, CA10y exp
AppleSan Jose State University
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AG

Director of Engineering specializing in AI/ML, GenAI, and cloud platforms

Seattle, WA18y exp
VisaGovernment College of Engineering and Textile Technology, Serampore
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MW

Executive CTO/CDAO specializing in cloud-native platforms, data engineering, and AI security

20y exp
Stealth
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SL

Staff Software Engineer specializing in FinTech and Healthcare Platforms

Houston, TX13y exp
AmazonColgate University
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AM

Amit Mathur

Screened ReferencesStrong rec.

Executive Technology Leader specializing in Wealth Management Platforms

New York, NY18y exp
Franklin TempletonBoston University

Technology leader from Franklin Templeton who modernized wealth management tech by launching client-facing digital web/mobile experiences via a phased data-warehouse-to-real-time strategy, while aligning internal CRM visibility for front office teams. Scaled an engineering org from 15 to ~250 (15 teams) and drove a shift from waterfall to Agile with microservices/micro-frontends and Jira-based transparency to improve delivery velocity.

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SS

Saleem Sultan

Screened ReferencesStrong rec.

Director-level Product & Engineering Leader specializing in AI/ML, cloud platforms, and digital transformation

Dallas, TX10y exp
HCSCCornell University

Senior engineering/technology leader who has defined and delivered a multi-year roadmap to modernize platforms and embed AI, leading global teams through cloud-native and microservices migrations on AWS/Azure. Demonstrated measurable outcomes including 99.99% uptime, 40% fewer incidents, 25% faster delivery, 5x scalability, and $30M in new business opportunities, while scaling a 100+ person distributed org with strong OKR-driven execution and mentorship culture.

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