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Vetted Cybersecurity Professionals
Pre-screened and vetted.
Executive Technology Leader specializing in Cloud, AI/IoT, and Cybersecurity
Executive Technology Leader specializing in AI/GenAI platforms and digital transformation
Executive COO/CFO in Banking & Capital Markets specializing in governance and transformation
Rina Thakker
Executive Product & Technology Leader specializing in consumer digital platforms and media
“CTO at Grand Slam Track (track & field league) for ~2 years, owning a broad technology portfolio across digital marketing tech, IT, broadcast technology, and athlete/data management systems. Entrepreneurial operator with repeated experience assessing product-market fit using user sentiment, demand data, demographic targeting, and A/B testing; familiar with VC mechanics and looking to deepen hands-on fundraising experience via a large network and board connections.”
Charles Amoyaw
Senior DevOps Engineer specializing in cloud infrastructure and CI/CD automation
“Infrastructure/operations engineer with hands-on IBM Power/AIX administration (LPAR/DLPAR, HMC, RMC) and PowerHA cluster failover experience, plus modern DevOps tooling across CI/CD, Kubernetes/Helm, and IaC (Terraform/CloudFormation/Ansible). Emphasizes controlled change management, drift prevention via Git-as-source-of-truth, and observability practices using Prometheus/Grafana.”
Nick Stoianov
Executive CTO & AI Systems Architect specializing in cloud platforms and RAG products
“Technology leader with experience owning enterprise roadmaps and executing large-scale platform standardization during rapid M&A—most notably driving a tech roadmap across a 37-company portfolio at Regent, tackling technical debt and security gaps via unified cloud-native architecture, IAM/logging, CI/CD, and a global SRE model. Previously scaled an Adobe engineering org from 8 to 40+ across four regions, implementing clear org design, KPIs, and an extreme-ownership culture to support 24/7 operations and enterprise needs.”
Tom Dinwiddie
Executive IT Leader specializing in global SaaS, cloud transformation, and M&A integration
“Technology executive/CTO-type leader with experience at ALLDATA defining and operationalizing an executive-prioritized roadmap, scaling distributed engineering teams (including expansion in Mexico and India), and modernizing products onto a containerized Google Cloud architecture. Highlights include 99.96% reliability, 38% maintenance cost reduction, and strong security/compliance posture (CyberArk, ISO27001, SOC2, SOX).”
Executive Technology Leader specializing in AI, Data Platforms, and FinTech
Intern Machine Learning Engineer specializing in LLM agents and RAG systems
Mid-level Customer Success Manager specializing in enterprise SaaS and public sector accounts
Mid-level QA Engineer and Full-Stack Developer specializing in Apple platforms and ML
Director-level Software Engineering Leader specializing in AI, data, security, and cloud
Executive Engineering Leader specializing in regulated healthcare SaaS and aerospace systems
Executive Technology & Data Leader specializing in AI/ML strategy and digital transformation
Director of Architecture specializing in AdTech, AI/ML, and large-scale cloud platforms
Executive IT & Software Development Leader specializing in cloud-native transformation and trading platforms
Executive Healthcare Technology Leader (CIO/CTO) specializing in digital transformation
Chris Michaelson
Executive Engineering Leader specializing in cloud, DevSecOps, and large-scale platform modernization
“Co-founded a Digital Loss Prevention (DLP) startup and raised $6M in seed funding by showcasing a controlled, laptop-based technology demo. Post-funding, drove MVP planning and execution by sequencing operations and assembling a team to build an appliance MVP, using an iterative build/evaluate/visualize approach.”
Sudhir Nelvagal
Executive Product & Engineering Leader specializing in Cloud/SaaS, AI/ML, and Cybersecurity
“Engineering/technology leader with experience at GE, Owl Cyber Defense, and Team Cymru, focused on translating VOC and business strategy into iterative product/technology roadmaps. Led delivery of a Continuous Threat Exposure Management/asset discovery capability integrated with threat intel, reaching GA in ~2 quarters and generating ~$300K in pre-GA orders. Has scaled engineering organizations significantly (to ~100 FTE) and driven big-data security architectures using Kafka and ClickHouse with data-driven cost/performance tradeoffs.”
Alexander Goldberg
Executive Technology & Product Leader specializing in AI/AR SaaS and cybersecurity
“Engineering/technology leader with mission-critical experience at JPL NASA on the Mars Curiosity Rover, delivering an AI-driven navigation system designed for zero tolerance for mistakes and reportedly operating with no failures for 15+ years. Also led a monolith-to-microservices, cloud-native migration that improved scalability by 300% and cut deployments from days to hours, and is comfortable switching between executive fundraising/stakeholder communication and deep technical leadership.”
Cornelius O'Donnell
Director-level Engineering & Program Leader specializing in AI product platforms
“Technical Program Manager and one of three internal "founders" of HP’s Hardware-as-a-Service home printer subscription initiative, spanning DTC shipping, simplified setup, ink replenishment, and warranty coverage. Led roadmap definition/execution, scaled delivery rapidly to 15+ scrum teams (including vendors) with SAFe-like coordination and shared engineering standards, and drove key architecture trade-offs (building an interim subscription management service) to accelerate time-to-market by about a year.”
Pranav Purathepparambil
Intern Software Engineer specializing in distributed systems and security
“Built a production LLM-powered analyst assistant at Discern Security to speed up SOC investigations using a RAG pipeline over security vendor documentation (Python PDF ingestion, vector search). Demonstrates deep, security-critical LLM engineering: structure-aware chunking with custom table parsing, grounded/cited responses, prompt-injection defenses, and post-generation validation, validated via golden datasets and adversarial testing; tool is used daily by analysts.”