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Vetted Large Language Models (LLMs) Professionals
Pre-screened and vetted.
Senior AI/ML Engineer specializing in NLP, LLMs, and retrieval systems
Hassaan Khan
Executive Technology Leader specializing in distributed systems, cloud infrastructure, and AI/ML
“Engineering leader/player-coach who built and validated a preference-based recommendation engine using clustering, including generating test data to evaluate how clusters evolve over time. Has SRE/DevOps experience and has owned production incidents end-to-end (logging-driven RCA and refactoring patterns that failed at large data scale). Emphasizes quality and platform stability via unit, integration, and load testing, and has managed performance via regular 1:1s and PIPs.”
Director-level Data Platform Engineering Leader specializing in data governance and quality
Senior AI Engineer specializing in LLMs, generative AI, and ML systems
Senior Software Engineer specializing in AI platforms, payments, and consumer systems
Senior Machine Learning Engineer specializing in large-scale AI systems
Senior Software Engineer specializing in agentic AI and full-stack LLM systems
Staff Software Engineer specializing in data platforms, distributed systems, and AI workflows
Senior Applied AI Engineer specializing in recommendation, search, and ML platforms
Staff Full-Stack Software Engineer specializing in cloud platforms and real-time health data
Staff Machine Learning Engineer specializing in search, ranking, and LLM systems
Senior Software Engineer specializing in cloud platforms, AI systems, and EdTech
Senior AI Engineer specializing in NLP and large language models
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 Machine Learning Scientist specializing in NLP, LLMs, and Generative AI
Staff AI/ML Engineer specializing in LLMs, fraud detection, and MLOps
Senior Machine Learning Engineer specializing in Generative AI and NLP
Senior Full-Stack Engineer specializing in AI and GenAI platforms
Arjun Dubashi
Director-level Software Development Manager specializing in AWS agentic AI and logistics platforms
“Software development manager who led development of the open-source AI agents framework Strands (for Amazon Bedrock), which launched mid-year and is used as a primary agent-development framework at Amazon and externally. Owned the Strands SDK end-to-end, drove adoption through stakeholder management and agile execution, and led a JavaScript-to-TypeScript migration to improve type safety and maintainability.”
Neeraj Sharma
Executive Engineering Leader specializing in AI/ML platforms and cloud-scale distributed systems
“Senior engineering/technology leader with experience driving board-backed, multi-year platform transformations in retail commerce (American Eagle) and scaling ML/product delivery platforms at Amazon Alexa. Known for data-driven build-vs-buy decisions, org scaling (6→80), and measurable outcomes including 98.5%→99.9% uptime, 234 experiments generating ~$200M revenue lift, and increasing delivery velocity from 1.5 to 30 features/week while transitioning to DNN/large-model architectures.”
Kevin Wang
Senior Software Engineer specializing in cloud infrastructure and distributed systems
“Amazon engineer focused on productionizing LLM-powered developer workflows, including code assistance, debugging automation, and internal AI tooling. Stands out for combining hands-on ML systems work with strong platform engineering, including an orchestration engine that reportedly saved about $10K/day and reduced a manual workflow from 12 hours to under a second.”