Vetted Cybersecurity Professionals

“Current CTO of an analytics company in the eye industry that was acquired by a larger organization, and now exploring building a new analytics platform for individual provider offices. Focused on helping practices grow revenue and improve the patient journey to drive long-term retention, with entrepreneurial motivation tied to building a legacy business for their family.”

“Technical Product Manager with hands-on experience shipping and running live free-to-play games (including Cartoon Network BMX Champions) across web and mobile, with exposure to Roblox and some console. Focuses on data-driven live ops—daily rewards, streaks, push notifications, and limited-time events—paired with A/B testing and funnel/retention analytics to improve engagement and IAP performance.”

Emmanuel Ngalima

Screened ReferencesStrong rec.

Mid-Level Software Engineer specializing in geospatial AI and cloud security automation

San Ramon, CA5y exp

“Cloud engineer and cloud OS SME (Chevron) who productionized large-scale security remediation—using Tanium and Ansible to address CIS benchmark noncompliance across 5,000+ servers with robust logging and RCA handoffs. Also drives adoption of a geospatial AI refinery inspection product by consolidating siloed imagery into an enterprise geospatial database, and presents internally on agentic/LLM tooling (LangChain/LangGraph, LangSmith observability).”

Joshua Smith

Screened ReferencesStrong rec.

Executive engineering leader specializing in AI automation and enterprise transformation

Banks, OR23y exp

“Technology leader with deep accelerator and zero-to-one product experience across the Department of Defense, Fortune 100 enterprises, academia, and GovTech. Most notably, they built a seven-tier solution that generated over $10M in first-year savings and was adopted by 300+ DoD organizations, positioning them as a strong CTO-type operator for mission-driven startups and complex enterprises.”

Guillermo Salas

Screened ReferencesStrong rec.

Executive software engineering leader specializing in AI-augmented Healthcare SaaS platforms

Elm Grove, WI15y exp

“VP-level software engineering leader in a private-equity-backed company, overseeing a 50+ person org through aggressive growth and operational efficiency goals. Particularly strong in building the operating system around engineering—product-to-engineering governance, AI-augmented SDLC practices, ADRs, and feature-flag-driven delivery—to reduce ambiguity, dependency on institutional knowledge, and cycle time.”

Dean Graves

Screened ReferencesStrong rec.

Executive Business Leader in corporate strategy, M&A, and global outsourcing/SaaS transformation

Las Vegas, NV25y exp

“US leader for Freeman Clark (fractional IT leadership services) who drove a >$1.5M capital raise tied to repositioning the US business as a standalone entity. Previously led a turnaround at Environmental Data Resources by unifying fragmented data/SaaS platforms and landing Wells Fargo and JPMorgan Chase on significant 5-year subscriptions through co-designed solutions; also has GTM leadership experience in a PE-backed startup (LogicSource) spanning sales through delivery alignment.”

“AI/ML infrastructure-focused engineer who has built production RAG systems from scratch (Supabase/pgvector + OpenAI embeddings) and iterated using formal eval metrics to improve retrieval quality. Also debugged real-time audio issues in a LiveKit-based pipeline by correlating packet loss with VAD behavior, and has deep experience building brittle, customer-specific financial platform integrations in Python/Playwright (2FA, redirects, token refresh, rate limits).”

“Robotics-focused engineer from a senior capstone who built the backend motion-control software for a semi-autonomous line-following vehicle split across two ESP32s. Experienced in ROS 2 (DDS, lifecycle nodes, QoS) and in bridging microcontroller telemetry to a laptop ROS 2 stack over UART with custom structured protocols, using Gazebo simulation to tune PID and validate behavior before deploying to hardware.”

Dylan Zhu

Screened

Mid-level Machine Learning Engineer specializing in computer vision and generative AI

Hoboken, NJ7y exp

“Built and deployed an LLM/RAG system that uses differential privacy and distributional similarity checks to transform private data into a non-sensitive knowledge base while preserving utility. Also has experience demonstrating adversarial ML concepts (FGSM) to non-technical audiences by focusing on observable model behavior rather than implementation details.”

“Former CEO with direct venture fundraising experience and years inside VC-backed companies. Focused on an AppSec/software supply chain security opportunity built around acquiring an existing SCA/SSCS platform and accelerating growth through AI-driven remediation capabilities, additional acquisitions, and enterprise sales.”