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Vetted Generative AI Professionals
Pre-screened and vetted.
Mid-level AI Engineer specializing in LLM agents, RAG, and enterprise GenAI
Mid-level Full-Stack Developer specializing in FinTech and fraud detection
Junior AI Product Engineer specializing in LLM workflows and analytics automation
Mid-level AI/ML Engineer specializing in MLOps, distributed ML, and RAG pipelines
Senior Data Scientist specializing in Generative AI, NLP, and MLOps
Senior Machine Learning Engineer specializing in NLP, Generative AI, and healthcare/legal AI
Executive CTO/CPO and Product & Technology Leader specializing in Healthcare SaaS and AI/ML
Mid-level AI Engineer specializing in LLM orchestration and production AI systems
Mid-level Software Engineer specializing in backend microservices and cloud-native systems
Mid-level Backend Software Engineer specializing in FinTech and cloud microservices
Director of Engineering specializing in AI/ML, data platforms, and consumer messaging
Senior AI/ML Engineer specializing in GenAI, LLMs, NLP, and MLOps
Executive Engineering Leader specializing in Telehealth Platforms and Healthcare IT
Senior Technical Artist specializing in XR, game engines, and generative/agentic AI
Joseph D’Alessandro
Senior Game & XR Developer specializing in Unity, Unreal Engine, and immersive learning
“UE5/VR-focused developer who has shipped real UE5 deliverables (Fab.com products and VR template projects used by graduate students) and built a modular VR training interaction system end-to-end using Blueprint Interfaces and Actor Components. Also shipped a game-ready UE5 character product (“Ryan the incredible”) with 180 animations and a scalable AnimBP, and has hands-on profiling/optimization experience reducing tick-heavy Blueprint logic.”
Abhishikth Meesala
Mid-level AI/ML Engineer specializing in NLP, Generative AI, and fraud detection
“At PwC, built and productionized an agentic RAG enterprise search assistant over 6M internal documents (8M embeddings), deployed across AWS and GCP. Drove major retrieval gains (72%→92% precision via BM25+dense hybrid with RRF and cross-encoder re-ranking), reduced hallucinations 30%, achieved <2s latency at 50–60K queries/month, and cut support tickets 30%—boosting adoption to 2,500 users by adding source-cited answers.”
Mark Connolly
Director-level UX and design systems leader specializing in enterprise platforms
“Frontend architecture leader with deep browser-platform expertise who led the UI for Fidelity's next-generation account optimization platform and built a framework-agnostic web component ecosystem before Fluent existed. Particularly strong in semantic component design, event-driven architecture, performance tuning at scale, and highly disciplined testing, with recent hands-on work in GIS/map-based visualization prototypes.”
Keith Aumiller
Director-level Data & AI Leader specializing in enterprise transformation
“Built Cigna Health’s risk-based management/monitoring system used as a primary product for pharmaceutical clients, supporting clinical trials and utilized during the COVID-19 pandemic. Currently running a community-based startup (details kept proprietary) and is open to executive roles or joining a strong team with a clear path to success, evaluating opportunities via ROI.”
Manish Mallikarjuna Devatha
Principal Applied Scientist specializing in ML systems and Generative AI
“Built and owned an end-to-end agentic RAG chatbot platform for Baptist Health that helped clinicians access policy and clinical documents faster, reducing manual lookup by 80% and delivering about $2M in annual savings. Brings strong healthcare GenAI production experience, including HIPAA-aligned governance, PHI redaction, observability, evaluation, and scalable Python/Kubernetes deployment practices.”
Praneeth Regonda
Mid-level Full-Stack Engineer specializing in FinTech and AI platforms
“Full-stack engineer with 3 years of AI/ML experience who has shipped production LLM workflows, including a Bloomberg triage dashboard that cut manual processing by 35%. Combines React/TypeScript product sense with AWS/Spring/Lambda backend architecture and unusually strong practical judgment around evals, trust, retrieval, latency, and UX for real-world AI systems.”
Chiranth Kumar
Mid-level Data Engineer specializing in cloud data platforms and FinTech analytics
“Solutions architect/technical consultant with experience across Intuit, Deloitte, and CodeNest Solutions, focused on enterprise data modernization, AI adoption, and real-time streaming in B2B environments. Particularly strong in regulated financial use cases, where they combine hands-on POC building, security/compliance diligence, and modern data stack expertise to help clients modernize legacy systems and close complex enterprise deals.”