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Vetted Cybersecurity Professionals
Pre-screened and vetted.
Executive Technology & Product Leader specializing in AI, Cloud, and Cybersecurity platforms
Executive Technology Leader specializing in GenAI, cloud infrastructure transformation, and enterprise modernization
Principal/Senior Architect specializing in AI platforms and cybersecurity
Executive Digital & Technology Leader specializing in enterprise transformation, IoT, and e-commerce
Director-level Customer Success & Program Leader specializing in GRC, privacy, and cybersecurity SaaS
Adam Yankelevits
Senior investment and operations professional specializing in early-stage FinTech and PropTech
“Early-stage investor with PropTech exposure who sources founders through conferences, VC networks, and thesis-driven outbound. Demonstrated ability to turn cold founder interactions into multi-month relationships by providing practical support on financial models and pitch decks, while applying a thoughtful lens on product-market fit and ICP in investment decisions.”
Bill Eichen
Executive product and business leader specializing in AI, semiconductors, and growth strategy
“Candidate indicated they have a business plan or startup and referenced Gimmelfund.com, a VC fund in Palo Alto. They also stated they are very familiar with the venture capital, studio, and accelerator landscape, but provided limited detail during the screen.”
Jimmie Lee
Executive Technology & Strategic Operations Leader specializing in AI governance and cybersecurity
“Serial entrepreneur who has launched 9+ bootstrapped businesses and has repeatedly raised capital as a CTO for other startups, leveraging a 7,000+ funder network and a sales-like fundraising pipeline approach. Deeply embedded in the VC/studio/accelerator ecosystem for 15+ years and currently mentors/advises with Stanford Venture Studios, Alchemist, and Ignyte in Dubai. Recently left Meta and is specifically targeting CTO roles for the next 5–10 years.”
Alok Kumar
Director-level Product Management leader specializing in cybersecurity, cloud, and AI governance
“Senior product leader with substantial end-to-end build experience across Microsoft, Amazon, NCR, and a current AI startup. Particularly notable for creating a machine-readable compliance platform at Microsoft, shipping AI-enabled support workflows, and combining enterprise-scale product rigor with a human-centered view of personalized AI.”
SHIVA SANDY
Executive CTO/CIO specializing in FinTech, cloud transformation, and cybersecurity
“Banking/credit-union technology executive (CTO/CTIO) who has led modernization and product delivery through major change, including a post-merger roadmap that helped grow a credit union from $600M to $1.5B in 3 years. Hands-on leader who drove cloud microservices/API architecture, introduced CI/CD, and accelerated releases from quarterly to weekly while scaling teams and operating effectively with distributed/remote orgs.”
Mid-level Software Engineer specializing in backend, infrastructure, and data platforms
Executive CEO and ex-McKinsey Partner specializing in transformation, P&L leadership, and AI-driven growth
Director/Principal Engineer specializing in distributed systems, cloud platforms, and GenAI
Executive Cybersecurity & Resilience Leader specializing in Payments and FinTech
Senior Machine Learning Engineer specializing in ranking, recommendation, and generative AI
Principal Data Scientist specializing in Generative AI and security analytics
Executive CTO/CDAO specializing in cloud-native platforms, data engineering, and AI security
Executive technology leader specializing in SaaS, AI/ML, and cloud platforms
Bill Schlageter
Executive CIO and transformation leader in global ERP, modernization, and M&A integration
“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.”
Thomas Douaihy
Executive CIO/CDO/CTO specializing in digital transformation, data/AI, and cloud modernization
“Operations/process improvement leader with executive experience at Nestlé Purina, applying Lean/value stream mapping to improve IT service response times and user satisfaction. Led the integration of Merrick Pet Food into Purina, addressing scaling constraints by redesigning outdated processes. Also served as a technology mentor to the Purina executive team/CEO to improve decision-making on technology investments.”
Saleem Sultan
Director-level Product & Engineering Leader specializing in AI/ML, cloud platforms, and digital transformation
“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.”
michael avrahamov
Executive engineering leader specializing in AI-first SaaS and cloud platforms
“Senior engineering executive who operated as an org-level CTO at both ServiceNow and Oracle, leading global teams up to 150 engineers and driving cloud-native, multi-tenant platform architecture. Particularly strong in observability, streaming systems, and security, with experience delivering large-scale systems ingesting data from millions of agents while building high-performing, high-DORA engineering organizations.”
Vishanth Iyer
Senior AI/ML Engineer specializing in LLMs, multimodal AI, and scalable MLOps
“ML/NLP engineer with experience at NVIDIA and Cruise building production-grade AI systems across genomics/biomedical research and autonomous vehicle data. Has delivered multimodal LLM pipelines, large-scale entity resolution, and hybrid semantic search (BERT embeddings + FAISS + Elasticsearch), with measurable impact (≈40% accuracy/retrieval gains; ≈30% data consistency improvement) and strong MLOps practices (Kubernetes, CI/CD, MLflow, Prometheus/Grafana).”