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Vetted Agentic AI Professionals
Pre-screened and vetted.
David Lapsley
Executive Engineering Leader specializing in AI infrastructure and cloud platforms
“Founder building Shipkode.ai, an enterprise SaaS product using generative AI to automate the front half of the software development lifecycle—from idea and customer feedback to engineering-ready specifications—with a beta planned for the first week of April. Has spoken with 24+ VCs over two years and mentors cybersecurity startups through the Tampa Bay Wave accelerator, emphasizing rigorous customer discovery to avoid misaligned product development.”
Chavez Yi Wei Cheong
Mid-level analyst and software engineer specializing in AI, distributed systems, and product delivery
“Engineer with end-to-end shipping experience spanning large-scale infrastructure at Meta and scrappy startup automation work. Built a C++ streaming platform for Facebook Marketplace with canary and chaos testing, and also created Selenium-based scraping and GTM automation workflows under ambiguous, real-world conditions.”
Executive Technology & Platform Leader specializing in cloud, Java ecosystems, and AI-enabled developer platforms
Executive Engineering Leader specializing in Agentic AI and Generative AI
Staff Full-Stack Engineer specializing in test automation, DevOps, and AI tooling
Principal AI Systems Engineer specializing in enterprise identity security
Executive CTO and serial founder specializing in AI platforms and Financial Services
Daming Jiang
Intern Software/AI Engineer specializing in LLM fine-tuning and agentic RAG systems
“Built and shipped an end-to-end LLM agent during an AT&T internship to automate network troubleshooting, with production-style reliability safeguards (timeouts/retries/fallbacks) and structured, state-machine orchestration; project won 3rd place in AT&T’s nationwide intern innovation challenge and was demoed to leadership. Also handled messy multi-partner data at Tencent by implementing schema validation/normalization, confidence-threshold fallbacks, and idempotent Python/ORM-based pipelines.”
Abhinav Bandaru
Junior Data Scientist specializing in Generative AI and agentic LLM systems
“LLM/agentic-systems builder who has shipped production tools for investment research and procurement insights, including a company screener that processes thousands of conference-listed companies using FireCrawl + Google Search + Gemini. Demonstrates strong orchestration expertise (LangGraph multi-agent graphs), performance optimization (async/batching to sub-30s), and pragmatic reliability/evaluation practices with stakeholder-friendly UX (real-time cost tracking and model/parameter toggles).”
Gianluca De Novi
Executive technology leader specializing in AI, blockchain, robotics, and healthcare
“Serial entrepreneur who has created several companies, brought them to market, raised as much as $15M, and achieved exits before moving on to new ideas. Combines an academic and institutional background spanning Harvard, MIT, Mass General Brigham, and the Department of War with two decades of consulting experience, and is especially motivated by building impactful technology.”
Kamal Basha
Executive Data & AI Product Leader specializing in GenAI/LLM and SaaS platforms
“Technology/engineering leader with experience at Real Messenger, Wolters Kluwer, and Accenture AI, spanning roadmap definition through execution and org scaling. Has operated at the executive level (fundraising, investor relations, SPAC merger activities, media presentations) while driving architecture decisions validated by PoC/testing/production success metrics.”
Intern Machine Learning Engineer specializing in NLP and search
Senior Full-Stack Software Engineer specializing in Healthcare AI and MVP delivery
Senior Software Engineer specializing in agentic AI and scalable backend systems
Senior Agentic AI & Backend Engineer specializing in LLM platforms and multi-agent systems
Senior Business Analyst specializing in digital and enterprise technology strategy
Senior Machine Learning & GenAI Engineer specializing in LLM systems and data pipelines
Executive Technology Leader specializing in Cloud, Data Platforms, and AI/ML
Staff Machine Learning Engineer specializing in LLMs and cloud-native AI platforms
Senior Machine Learning Scientist specializing in LLMs, RAG, and health AI
Shashikant Sreenivasaiah
Executive software engineer and founder specializing in AI, robotics, and cloud systems
“AI-native engineer who says 100% of current development is done through coding agents and reports roughly 10x productivity gains. Currently building 'AI TV,' a production video-generation system with multi-agent orchestration, including a motion-graphics pipeline where agents handle high-level design, low-level implementation, and iterative review. Particularly strong in designing codebases and workflows so AI systems can effectively use architectural and product context.”
Raymond Otero
Director of Customer Experience & Success specializing in regulated cloud and agentic AI transformation
“Founder of a self-funded side advisory (e-Regency Advisory Services LLC) focused on helping early- and growth-stage technology companies improve customer experience, modernize cloud platforms, and build customer success/operations strategies leveraging AI. Has worked closely with founders and startup leadership teams and has supported companies as they prepared for or pursued funding, bringing a pragmatic, operationally disciplined approach to validating and scaling new ideas.”