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Vetted Model Deployment Professionals
Pre-screened and vetted.
Senior Full-Stack Engineer specializing in AI/ML platforms and cloud-native systems
Senior Software Engineer specializing in cloud platforms and healthcare AI
Staff Machine Learning Engineer specializing in LLMs and Generative AI
Staff Data Scientist specializing in machine learning, deep learning, and big data
Senior AI/ML Engineer specializing in LLM applications, RAG systems, and MLOps
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.”
Staff AI Full-Stack Engineer specializing in LLMs, multi-agent systems, and Voice AI
Senior Machine Learning Engineer specializing in NLP and Generative AI
Senior Machine Learning Engineer specializing in on-device AI and large-scale deep learning systems
Senior Applied Machine Learning Engineer specializing in FinTech & E-commerce
Senior Full-Stack Software Engineer specializing in ML platforms and privacy-preserving ads
Director-level Data & AI Engineering Leader specializing in cloud-native analytics and GenAI
Jayaprakash Majji
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and scalable inference
“ML/LLM engineer who built and shipped an LLM-powered internal knowledge assistant at Meta, focusing on production-grade RAG to reduce hallucinations and improve trust. Deep experience with scaling and serving (FSDP/DeepSpeed/LoRA, Triton, Kubernetes autoscaling) and reliability practices (Airflow retraining, MLflow versioning, monitoring with rollback), including sub-100ms latency and ~35% GPU memory reduction.”
Brian Gomez
Senior Machine Learning Engineer specializing in AI/ML, NLP, and computer vision
“McKinsey & Company ML/NLP practitioner who builds production-grade AI systems across sectors (notably healthcare and finance), including RAG/LLM solutions, entity resolution pipelines, and embedding-powered search with vector databases. Demonstrated measurable impact (40% reduction in data duplication) and strong MLOps/data workflow practices (Airflow, MLflow, Spark, AWS/GCP, Prometheus, CI/CD).”
Mid-Level Backend Software Engineer specializing in payments and real-time analytics
Mid-level Data Scientist / GenAI & ML Engineer specializing in LLM apps and MLOps
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and scalable inference
Mid-level Full-Stack Software Engineer specializing in FinTech analytics and security