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Vetted Prompt Engineering Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in LLM infrastructure and AI inference platforms
Executive Product & Partnerships Leader specializing in Responsible Tech, Privacy, and Equity
Senior Machine Learning Engineer specializing in recommender systems, search, and NLP/GenAI
Staff Machine Learning Engineer specializing in LLMs and Generative AI
Senior Full-Stack Software Engineer specializing in cloud storage and developer tooling
Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference
Executive AI/ML Engineer specializing in LLMs, NLP, and production ML systems
Senior AI/ML Engineer specializing in LLM applications, RAG systems, and MLOps
Senior Software Engineer specializing in AI infrastructure and distributed systems
Nathan Telles
Staff Software Engineer specializing in distributed systems, cloud platforms, and AI services
“Meta engineer who owned end-to-end production systems for AI-enabled smart glasses, spanning React/TypeScript apps through Node/Java microservices on AWS EKS with Kafka/Postgres. Built and productionized a real-time RAG pipeline (LangChain + OpenAI + Elasticsearch) with rigorous guardrails (shadow/canary, fallbacks, monitoring), delivering major improvements in latency (~35–40%), error reduction (~30%), and engagement (reported +40% DAU).”
Esha Pahwa
Intern Machine Learning Engineer specializing in LLM agents and multimodal reasoning
“LLM/agent engineer who built a production code-generation agent at Corvic AI that lets non-technical users query CSV/tabular data in natural language by generating and executing Python. Focused on making LLM systems reliable and scalable via schema-aware validation, sandboxed execution-feedback retries, prompt caching/embeddings, async execution, and high-throughput data processing with Polars; also partnered with Adobe product/marketing to ship brand-aligned AI content generation for email and push notifications.”
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.”
Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference
Senior Full-Stack Software Engineer specializing in cloud automation and applied AI
Staff AI Full-Stack Engineer specializing in LLMs, multi-agent systems, and Voice AI
Senior AI/ML Engineering Manager specializing in NLP, computer vision, and MLOps
Software Development Manager specializing in multimodal visual search and AI platforms
Senior Software Engineer specializing in healthcare AI and cloud platforms
Staff Software Engineer specializing in AI infrastructure and distributed systems
Senior AI/ML Engineer specializing in Generative AI, RAG, and MLOps for FinTech
Senior Full-Stack AI Engineer specializing in LLM and speech-to-text products