Vetted Cross-Functional Collaboration Professionals

Pre-screened and vetted.

MS

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

San Jose, CA12y exp
CoupangCarnegie Mellon University
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DN

Senior Software Engineer specializing in full-stack cloud and FinTech platforms

California, USA20y exp
UC Irvine Donald Bren School of Information and Computer SciencesUC Irvine
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KD

Senior AI/ML Engineer specializing in production AI systems for healthcare and enterprise

San Francisco, CA14y exp
OpenAIWells College
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SC

Principal Software Engineer specializing in distributed systems and cloud platforms

Menlo Park, CA14y exp
MetaUniversity of Utah
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KN

Mid-level Venture Capital & M&A professional specializing in consumer and AI-enabled platforms

Remote, USA6y exp
GroundForce CapitalHarvard Business School
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WH

Senior Applied Machine Learning Engineer specializing in FinTech & E-commerce

Baltimore, MD10y exp
ShopifyPrinceton University
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AW

Staff Software Engineer specializing in AI infrastructure and distributed systems

Palo Alto, CA11y exp
GoogleTexas A&M 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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JL

Staff Full-Stack Engineer specializing in AI-enhanced FinTech platforms

Mountain View, CA12y exp
IntuitEastern Michigan University
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OI

Senior Full-Stack Software Engineer specializing in cloud-native backend systems

Spring, TX11y exp
OpenAIHoly Names University
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MC

Staff Full-Stack Software Engineer specializing in AI-powered platforms and scalable backend systems

Remote12y exp
RipplingUC Berkeley
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KK

Senior Product Manager specializing in AI, consumer platforms, and subscription products

Detroit, MI8y exp
FordWharton School
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Ridhi Singhal - Mid-level strategy and analytics professional specializing in growth and due diligence in Atlanta, GA

Ridhi Singhal

Screened ReferencesStrong rec.

Mid-level strategy and analytics professional specializing in growth and due diligence

Atlanta, GA4y exp
McKinsey & CompanyUniversity of Chicago

Growth and launch operator with Uber experience spanning marketplace expansion, rider/driver activation, and scalable onboarding systems in new-city launches, including Uber Shuttle in India. Stands out for combining data analysis, operational modeling, and cross-functional experimentation to unlock incremental revenue, improve NPS, and build repeatable playbooks that scaled across markets.

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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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Tolulope Akinlabi - Mid-level Cyber & Cloud Security Analyst specializing in AI/ML and cloud risk in Lanham, MD

Tolulope Akinlabi

Screened ReferencesStrong rec.

Mid-level Cyber & Cloud Security Analyst specializing in AI/ML and cloud risk

Lanham, MD6y exp
DeloitteUniversity of Pennsylvania

Built a production AI security compliance assessment system using the OpenAI API that ingests company policy documents, performs RAG over embeddings stored in Supabase/FAISS, and generates executive-level gap and maturity reports mapped to NIST CSF, SOC 2, and PCI DSS. Also developed a multi-agent trading assistant orchestrated with LangChain, combining live market data (Yahoo/Polygon.io), sentiment/technical indicators, LSTM-based forecasting, and LLM-generated recommendations.

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RL

Senior AI/ML Engineer specializing in LLM systems and FinTech platforms

Princeton, NJ10y exp
BloombergUniversity of Maryland, College Park
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JD

Senior Software Engineer specializing in payments and distributed systems

Mountain View, CA12y exp
GoogleRutgers University–New Brunswick
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EL

Senior Full-Stack AI Engineer specializing in LLM/RAG and production ML platforms

Chicago, IL9y exp
Ardan LabsUniversity of Illinois Urbana-Champaign
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DP

Deepak Puri

Screened ReferencesStrong rec.

Executive Chief of Staff & PMO/Technology Finance leader in Financial Services

New York, NY29y exp
CAISNUS Business School

Chief of Staff / PMO leader at CAIS who built a firm-wide product & technology roadmap and delivery governance from the ground up, partnering directly with the executive committee to define OKRs and prioritization. Led cross-functional GTM readiness tracking and delivered major platform modernization (monolith to microservices) plus trade lifecycle automation in the alternative assets/independent financial advisor space, while also instituting financial discipline and vendor negotiations that saved millions.

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Padmaja Tyada - Executive engineering leader specializing in cloud, AI, and FinTech platforms in San Jose, CA

Padmaja Tyada

Screened ReferencesStrong rec.

Executive engineering leader specializing in cloud, AI, and FinTech platforms

San Jose, CA25y exp
Channel Core Inc.University of Hyderabad

Engineering leader with experience scaling teams from 25 to 60+ and delivering both enterprise platform modernization and AI-native product innovation. At Experian, he led an AWS transformation of a high-volume credit platform serving 250M+ consumers, achieving 10x performance gains and 30% cost reduction; at Channel Core, he built AI-powered creator tools using OpenAI and RAG that improved adoption and personalized outreach outcomes.

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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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