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Vetted Prompt Engineering Professionals
Pre-screened and vetted.
Alex M Lee
Staff Full-Stack Engineer specializing in Healthcare AI and FinTech payments
“Backend/data engineer from Oscar Health specializing in healthcare claims systems on AWS. Built HIPAA-compliant real-time services (FastAPI/Postgres/Kafka on EKS) and serverless ingestion pipelines, and led modernization of a legacy SAS claims pricing system to Python/Spark with rigorous parity validation. Demonstrated measurable impact with high uptime/low latency services and major Snowflake performance and cost reductions.”
Subhash Mothukuru
Mid-level Machine Learning Engineer specializing in LLMs, generative AI, and MLOps
“Built and shipped a production LLM-powered medical scribe that generates structured clinical visit summaries using RAG, strict JSON schemas, and post-generation validation to reduce hallucinations. Experienced in making LLM workflows deterministic and observable (structured logging/metrics/tracing) and in evaluation-driven iteration with metrics like schema pass rate and edit rate; collaborated closely with clinicians and policy stakeholders at Scale AI to drive adoption.”
David Gross
Entry AI Software Engineer specializing in LLM workflows and ML pipelines
“Built an autonomous-agent document indexing concept in a hackathon with Microsoft and The Seattle Times, architecting an Azure-based system (Azure AI Foundry, Cosmos DB, Azure indexing, Copilot Studio) and coordinating closely with the customer team. Also created and pitched a sports matchmaking app (Ludicon), combining user studies, feature implementation, and technical support on sales/investor calls.”
Pankaj Goyal
Director-level Engineering Leader specializing in FinTech, IAM, and AI/ML platforms
“Player-coach backend leader at PostLo who led a major backend architecture upgrade to enable AI-driven features by separating transactional systems from AI workloads (vector embeddings/image validation) and adding async processing for heavy jobs. Also owned production reliability improvements (query/index optimization, workload isolation, monitoring and load testing) and translated an ambiguous retention goal into a shipped cashback rewards feature with auditable transactions.”
Senior Full-Stack & AI Engineer specializing in LLM applications and cloud platforms
Junior Software Development Engineer specializing in Android, cloud automation, and IoT/ML
Junior Quantum/AI Research Engineer specializing in quantum simulation and LLM alignment
Junior Software Development Engineer specializing in AI agents and personalization
Senior Full-Stack Software Engineer specializing in React and Node/Python in regulated systems
Junior Software Engineer specializing in cloud infrastructure and automation testing
Mid-level Data Scientist specializing in NLP, MLOps, and semiconductor manufacturing analytics
Mid-level AI/ML Engineer specializing in GPU-accelerated LLMs, RAG, and production MLOps
Junior Software Engineer specializing in scalable systems and cloud/AI tooling
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and multi-agent systems
Staff Software Engineer specializing in AI/ML and data engineering for healthcare automation
Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms
Senior Data Scientist specializing in Generative AI and LLM evaluation
Intern AI/ML Engineer specializing in LLM agents, RAG, and low-latency systems
Executive AI Product & Venture Studio Leader specializing in capital-efficient, investor-ready systems
Mid-level Data Scientist / GenAI & ML Engineer specializing in LLMs, RAG, and recommendations