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Vetted Fraud Detection Professionals
Pre-screened and vetted.
Staff-level Software Engineer specializing in LLM inference infrastructure and scalable model serving
Christopher McLean
Executive engineering leader specializing in security, privacy, and high-scale infrastructure
“Veteran operator from top-tier tech companies including PayPal, LinkedIn, Stripe, Facebook, and Merge, now seeking the right startup idea to found. Brings hands-on angel investing experience across 5 startups in the EU and US plus additional exposure through X-Stripe Angels, giving them both operator and investor perspective.”
Staff Machine Learning Engineer specializing in LLMs and Generative AI
Principal Data Scientist & AI/ML Engineer specializing in LLMs, recommender systems, and MLOps
Senior Full-Stack Engineer specializing in integrations, microservices, and data platforms
Senior Python Developer specializing in FinTech and RegTech payment systems
Staff Data Scientist specializing in machine learning, deep learning, and big data
Richard Jackson
Senior Machine Learning Engineer & Solution Architect specializing in cloud AI systems
“Backend/ML platform engineer with Google experience leading Python microservices for an AI-driven recommendation/retrieval system, including PyTorch inference and a retrieval-augmented generation workflow. Strong in production Kubernetes + GitOps (ArgoCD), real-time Kafka/Spark pipelines, and phased on-prem/legacy to AWS/GCP cloud migrations with reliability-focused rollout and rollback practices.”
Senior AI/ML Engineer specializing in LLMs, recommendation systems, and ML platforms
Staff AI/ML Engineer specializing in LLMs, fraud detection, and MLOps
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Senior Full-Stack Engineer specializing in AI and GenAI platforms
Sudheer Bommichetty
Mid-level Machine Learning Engineer specializing in NLP, MLOps, and Generative AI
“Built and deployed a production LLM conversational AI system at OpenAI supporting chat, summarization, and semantic search at 1M+ requests/day, driving major latency (40%) and accuracy (25%) improvements through Pinecone optimization and tighter RAG with re-ranking. Also has Amazon experience improving recommendation systems by translating ML metrics into business terms to boost CTR and conversions, with strong MLOps/orchestration depth (Airflow, MLflow, SageMaker, Kubeflow).”
Pradeep Nadella
Mid-level AI/ML Engineer specializing in LLM optimization and real-time fraud/risk modeling
“ML engineer with 5 years at Stripe building and productionizing real-time fraud detection at massive scale (3M+ transactions/day; $5B+ annual payment volume). Delivered measurable impact (22% accuracy lift, 18% loss reduction, +3–5% authorization rates) and has strong MLOps/orchestration experience (Docker, Kubernetes, Airflow, MLflow, CI/CD, monitoring/rollback) plus a structured approach to LLM agent/RAG evaluation.”
Director-level Software Engineering Leader specializing in AI, Data Platforms, and Ads/FinTech
Executive CEO and ex-McKinsey Partner specializing in transformation, P&L leadership, and AI-driven growth
Senior AI Full Stack Engineer specializing in generative AI and ML systems
Senior Applied Machine Learning Engineer specializing in FinTech & E-commerce
Senior Software Engineer specializing in Python AI/ML integration and experimentation pipelines
Senior AI/ML Engineer specializing in recommender systems, GenAI, and applied ML
Senior Machine Learning Engineer specializing in on-device AI and large-scale deep learning systems
Senior Software Engineer specializing in FinTech payments infrastructure
Senior Machine Learning Engineer specializing in ranking, recommendation, and generative AI