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Vetted Classification Professionals
Pre-screened and vetted.
Senior AI Engineer specializing in LLMs, RAG, and production ML systems
Senior AI/ML Engineer specializing in LLMs, recommendation systems, and ML platforms
Franklin Dickinson
Senior Data Scientist specializing in product analytics and applied AI
“Product data scientist at Meta who also built Fogo, a personal finance app, as a solo developer with a React/FastAPI/Postgres stack and sophisticated LLM evaluation infrastructure. Particularly strong in AI backend quality systems, experimentation, and production decision-making around model cost, latency, and reliability.”
Muneendra M
Mid-level Software Engineer specializing in event-driven backend and AI-enabled systems
“Full-stack engineer at Stripe who owned a webhook monitoring and retry platform end-to-end, spanning backend services, React dashboards, and production operations. Stands out for combining strong distributed-systems judgment with product polish, including a reported 31% improvement in webhook delivery reliability and UI improvements that reduced support burden.”
Director of Risk & Control Management specializing in financial services governance and regulatory remediation
Senior Full-Stack Developer specializing in cloud-native microservices and AI-driven healthcare apps
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and scalable inference
Senior Software Engineer specializing in AI for Healthcare and Enterprise SaaS
Abhinav Bandaru
Junior Data Scientist specializing in Generative AI and agentic LLM systems
“LLM/agentic-systems builder who has shipped production tools for investment research and procurement insights, including a company screener that processes thousands of conference-listed companies using FireCrawl + Google Search + Gemini. Demonstrates strong orchestration expertise (LangGraph multi-agent graphs), performance optimization (async/batching to sub-30s), and pragmatic reliability/evaluation practices with stakeholder-friendly UX (real-time cost tracking and model/parameter toggles).”
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.”
Mid-level Data Scientist specializing in NLP, MLOps, and semiconductor manufacturing analytics
Mid-level Machine Learning Engineer specializing in search ranking and NLP
Senior Data Scientist specializing in NLP, LLMs, and Generative AI automation
Staff Software Engineer specializing in AI/ML and data engineering for healthcare automation
Intern Software Engineer specializing in data engineering and LLM evaluation
Senior Applied ML Scientist specializing in LLMs, ads ranking, and RAG systems
Senior Software Engineer specializing in cloud platforms, data pipelines, and ML
Mid-level AI/ML Engineer specializing in RAG, NLP, and MLOps
Director-level Engineering Leader specializing in AI platforms and FinTech systems