Vetted Problem Solving Professionals

Pre-screened and vetted.

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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Brent Oster - Executive CTO specializing in Generative AI, GPU computing, and 3D graphics in Santa Clara, California

Executive CTO specializing in Generative AI, GPU computing, and 3D graphics

Santa Clara, California29y exp
ORBAIUC Santa Barbara
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Aaron Harnage - Senior AI Engineer specializing in LLMs, generative AI, and ML systems in Port St. Lucie, FL

Senior AI Engineer specializing in LLMs, generative AI, and ML systems

Port St. Lucie, FL10y exp
ZooxStanford University
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JF

Senior Full-Stack Engineer specializing in AI platforms, real-time collaboration, and observability

Remote12y exp
QuoraCarnegie Mellon University
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CN

Staff Data Scientist specializing in machine learning, deep learning, and big data

Mountain View, CA15y exp
WaymoMIT
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JN

Senior AI Engineer specializing in NLP and large language models

College Station, TX14y exp
NVIDIA
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VT

Director-level Customer Success & Program Leader specializing in GRC, privacy, and cybersecurity SaaS

Menlo Park, CA21y exp
MetaWharton School
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AJ

Senior VR Engineer specializing in Unity game systems and multiplayer experiences

UK13y exp
GoogleUniversity of Cambridge
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CM

Carla McIntosh

Screened ReferencesStrong rec.

Executive Global Talent Acquisition & People Transformation leader specializing in IPO readiness

Atlanta, GA33y exp
Syelo VenturesUniversity of Maryland Global Campus

People operations and talent acquisition leader who was handpicked to launch the first Google Operations Center in the U.S., building the entire hiring and people-program infrastructure from the ground up (including selecting/configuring Greenhouse). Experienced scaling in new markets using deep talent intelligence and transferable-skill frameworks, and currently advises founders as a board member for a talent acquisition startup with a data-and-benchmarks-driven operating cadence.

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DR

Junior Business Analyst specializing in public sector and life sciences consulting

Brooklyn, NY2y exp
McKinsey & CompanyPrinceton University

McKinsey consultant (BA and newly promoted Engagement Manager) with experience leading large-scale operating model and digital transformations using stage-gate governance and executive steering committees. Also served as a Policy Advisor to a governor, producing confidential executive briefings and implementing tracking systems to drive interagency accountability on climate and resilience initiatives; delivered a pharma/biotech workforce roadmap projecting $75M savings over 3 years.

Change managementBusiness developmentRecruitingDigital transformationStructured problem-solvingData-driven modeling+73
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Muneendra M - Mid-level Software Engineer specializing in event-driven backend and AI-enabled systems in San Francisco, CA

Muneendra M

Screened

Mid-level Software Engineer specializing in event-driven backend and AI-enabled systems

San Francisco, CA4y exp
StripeMichigan Technological University

Full-stack engineer at Stripe who owned a webhook monitoring and retry platform end-to-end, spanning backend services, React dashboards, and production operations. Stands out for combining strong distributed-systems judgment with product polish, including a reported 31% improvement in webhook delivery reliability and UI improvements that reduced support burden.

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Richard Jackson - Senior Machine Learning Engineer & Solution Architect specializing in cloud AI systems in Atlanta, GA

Senior Machine Learning Engineer & Solution Architect specializing in cloud AI systems

Atlanta, GA11y exp
GoogleUniversity of Miami
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MS

Senior AI/ML Engineer specializing in recommender systems, GenAI, and applied ML

San Jose, CA12y exp
CoupangCarnegie Mellon University
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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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AV

Senior Full-Stack Software Engineer specializing in AI voice agents and scalable web platforms

Palo Alto, United States10y exp
Retell AIMacquarie University
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YT

Senior Full-Stack Engineer specializing in AI-first web modernization and cloud platforms

San Francisco, CA13y exp
MetaUniversity of Waterloo
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SZ

Senior Software Engineer specializing in AI/ML infrastructure and GenAI

California, USA8y exp
VisaIowa State University
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AD

Senior Backend Developer specializing in cloud APIs and microservices

Mountain View, CA13y exp
GoogleUniversity of Texas at El Paso
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BS

Bill Schlageter

Screened ReferencesStrong rec.

Executive CIO and transformation leader in global ERP, modernization, and M&A integration

Lancaster, Pennsylvania24y exp
Schlageter & CompanyNortheastern University

Board member/advisor to a mid–$10M revenue company aiming for $100M+, focused on portfolio trimming, analyst-quadrant positioning (Gartner/Forrester/ISG), and building scalable commercial operations. Has driven org redesign (separating marketing and sales), CRM rollout (Salesforce) alongside existing Dynamics accounting, and coaches founders to adopt metrics, messaging discipline, and delegation for global scale.

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BK

Boris Kulakhmetov

Screened ReferencesStrong rec.

Principal Revenue Operations & GTM Transformation Leader specializing in AI-enabled sales and marketing

New York, NY13y exp
Publicis SapientLomonosov Moscow State University

Consulting-style leader (McKinsey context) driving data- and AI-enabled transformations across healthcare, QSR, retail, and services. Has built AI-powered analytics tools for marketing ideation, led agile operating models with client-side counterparts and external coaches, and navigated highly sensitive competitive retail engagements by isolating teams and delegating pricing work to avoid conflicts.

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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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AL

Alan Lin

Screened

Junior financial engineering analyst specializing in portfolio analytics and data science

San Francisco, CA2y exp
BlackRockPrinceton University

Financial engineering analyst at BlackRock who has built internal data products for thousands of sales users, including an end-to-end fund comparison system that combines internal and third-party data into compliance-approved PDFs. Brings a mix of data engineering, stakeholder-heavy delivery, and emerging AI experimentation, with current work focused on regression testing and Snowflake-based portfolio data automation.

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JR

Director-level data architect specializing in enterprise data, analytics, and AI/ML

Los Angeles, CA15y exp
Sony PicturesUC Berkeley

Senior product engineering and data architecture leader who has owned end-to-end solutions for enterprise analytics and legal search platforms, including work for Sony Pictures Entertainment and Accenture Legal. Combines executive-level architecture and team leadership with hands-on experimentation in modern AI systems, recently building a multimodal Hugging Face agent that significantly exceeded its benchmark score.

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