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Vetted AI Agents Professionals
Pre-screened and vetted.
Executive engineering leader specializing in capital markets, risk systems, and FinTech
Senior Software Engineer specializing in AI/ML evaluation and full-stack systems
Executive healthcare founder and venture builder specializing in digital health and AI
Mid-Level Software Engineer specializing in distributed systems and AI agent platforms
Mid-level Full-Stack Software Engineer specializing in distributed systems and GenAI platforms
Executive GTM & Customer Success leader specializing in AI, robotics, and enterprise SaaS
Matt Shade
Director-level AI engineering leader specializing in media platforms and newsroom workflows
“Product-minded frontend/UX leader with notable experience at CNBC, where they owned premium subscription and engagement flows from problem definition through production and post-launch iteration. They stand out for combining high-polish React implementation, Figma-driven systems thinking, and AI-assisted prototyping to quickly ship and refine conversion-focused experiences.”
Mihir Talsania
Senior Customer Success & Engagement Leader specializing in Enterprise SaaS, Cloud Transformation, and AI
“Strategic enterprise Customer Success leader from Atlassian Cloud managing a >$10M ARR, ~33k-user account end-to-end, driving measurable adoption (+12%), services expansion (+30%), and strong satisfaction (4.5/5). Experienced leading cross-functional deployments of AI agents (Rovo) and Forge-based integrations, and translating enterprise governance needs (e.g., RBAC at scale) into roadmap-shaping product requirements.”
Margaret Grayson
Executive Technology Leader specializing in Generative AI, platform architecture, and digital transformation
“Engineering/technology leader with experience at Expedia and startup OneRail, known for building business-aligned technology roadmaps and scaling orgs rapidly (11 to 120 engineers in a year). Has driven large productivity and efficiency gains by operationalizing AI agents (code reviews, upgrades, security fixes) and implementing ChatOps-based deployment architecture, using data-driven experimentation to manage platform changes and conversion impacts.”
Swayambhu Raparti
Executive Technology Leader in AI/ML, cloud platforms, and biotech/healthcare data systems
“Engineering leader with experience building point-of-care diagnostics platforms (IoT-connected PCR device delivering results in <15 minutes) and scaling multidisciplinary teams (55+). Has led major data/IoT architecture decisions (multi-cluster Kubernetes with secure routing; Kafka + Gobblin over MQTT) and runs execution with Agile roadmaps tightly aligned to GTM and senior leadership.”
ALEXANDER SHEYNER
Executive IT & Enterprise Architecture leader specializing in portfolio transformation, data/AI, and M&A
“Fractional CTO supporting early-stage teams in the UAE and Ukraine to build platforms using an "Agentic OS" approach—one focused on reducing friction across patient/provider/payor engagement and another on enforcing transparency for international rebuilding investments to reduce fraud. Also exploring an alternative-energy feedstock plantation opportunity in Armenia with multi-industry downstream revenue potential; has created project-specific investor pitch decks and is actively engaging potential investors.”
Senior MarTech Software Engineer specializing in AI automation and digital analytics
Executive AI Platform & Innovation Leader specializing in Banking, GenAI, and AI Governance
Principal Software Architect specializing in high-availability payments systems
Executive Engineering Leader specializing in AI and Financial Services platforms
Junior Software Engineer specializing in LLMs, Agentic AI, and MLOps
Mid-level Software Engineer specializing in distributed systems, AI, and FinTech
Executive Applied AI & Full-Stack Engineering Leader specializing in AI-first product modernization
Mid-level Data Scientist specializing in GenAI, LLMs, and MLOps
Executive Product & Technical Services Leader specializing in AI, Crypto, and FinTech
Yeshwanth Sai Pala
Mid-level Full-Stack Developer specializing in cloud microservices and AI-driven FinTech
“Stripe engineer who shipped an end-to-end merchant fraud insights dashboard, spanning Spring Boot/Kafka risk-scoring services and a React+TypeScript UI. Focused on low-latency, high-volume transaction processing and production operations on AWS (EKS/CloudWatch), including handling a real traffic-spike latency incident via query optimization, indexing, and rate limiting.”
Dheeraj Kumar
Intern Data Scientist specializing in marketing analytics and data engineering
“AI/LLM practitioner with internships at Dell Technologies and Roche who built and deployed a healthcare-focused "Doctor LLM" by fine-tuning Meta Llama 3.2 on healthcaremagic.json, emphasizing safety guardrails to prevent harmful medical advice. Experienced in productionizing AI workflows with monitoring, testing, and orchestration (Airflow, Kubernetes), and in delivering AI-agent-driven competitive landscape insights to non-technical business stakeholders.”