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Vetted Semantic Search Professionals
Pre-screened and vetted.
Senior AI/ML Engineer specializing in applied AI and scalable backend systems
Senior Machine Learning Engineer specializing in recommender systems, search, and NLP/GenAI
Staff Software Engineer specializing in FinTech and distributed systems
Staff Machine Learning Engineer specializing in LLMs and Generative AI
Senior Software Engineer specializing in AI platforms, payments, and consumer systems
Senior AI Engineer specializing in LLMs, RAG, and production ML systems
Staff AI/ML Technical Leader specializing in LLM agents, ranking, and large-scale NLP platforms
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
Senior Backend Software Engineer specializing in cloud platforms and event-driven systems
Senior Machine Learning Engineer specializing in Generative AI and NLP
Senior Full-Stack Software Engineer specializing in AI-powered distributed systems
Christopher Sipola
Senior Machine Learning Engineer specializing in LLMs and recommendation systems
“ML/GenAI engineer who owned major parts of Spotify’s AI DJ from offline experimentation through deployment, monitoring, and iteration. They combine recommender systems, RAG, real-time feedback loops, and LLM safety/orchestration to ship consumer-facing personalization features that drove double-digit engagement and deeper listening sessions.”
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.”
Senior Machine Learning Engineer & Solution Architect specializing in cloud AI systems
Senior AI Full Stack Engineer specializing in generative AI and ML systems
Staff AI Full-Stack Engineer specializing in LLMs, multi-agent systems, and Voice AI
Senior Software Engineer specializing in LLMs, semantic search, and cloud platforms
Principal Software Engineer specializing in distributed systems and cloud platforms