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Vetted Data Scientists
Pre-screened and vetted.
Principal Data Scientist & AI/ML Engineer specializing in LLMs, recommender systems, and MLOps
Senior AI Engineer specializing in LLMs, RAG, and production ML systems
Senior AI/ML Engineer specializing in LLMs, recommendation systems, and ML platforms
Staff Machine Learning Scientist specializing in NLP, LLMs, and Generative AI
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.”
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.”
Senior AI/ML Engineer specializing in recommender systems, GenAI, and applied ML
Senior AI/ML Engineering Manager specializing in NLP, computer vision, and MLOps
Mid-level Data Scientist specializing in Generative AI and LLM applications
Brian Gomez
Senior Machine Learning Engineer specializing in AI/ML, NLP, and computer vision
“McKinsey & Company ML/NLP practitioner who builds production-grade AI systems across sectors (notably healthcare and finance), including RAG/LLM solutions, entity resolution pipelines, and embedding-powered search with vector databases. Demonstrated measurable impact (40% reduction in data duplication) and strong MLOps/data workflow practices (Airflow, MLflow, Spark, AWS/GCP, Prometheus, CI/CD).”
Senior Data Scientist / ML Engineer specializing in LLMs, generative AI, and MLOps
Mid-level Data Scientist / GenAI & ML Engineer specializing in LLM apps and MLOps
Senior AI/ML & Data Scientist specializing in NLP, knowledge graphs, and semantic search
Paula Griffin
Director-level product leader specializing in marketplaces, AI, and consumer platforms
“Product leader with experience at ZipRecruiter, Quora, and Turing, spanning marketplace growth, AI/ML moderation, and talent-matching systems. They pair strong product intuition with operational rigor, having driven measurable wins like a rare +5% onboarding completion lift in a mature product, cutting Quora spam exposure from ~8% to <1%, and improving Turing fulfillment from ~20% to ~30%. Strong cross-functional leader and manager with a clear human-centered philosophy on AI.”
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).”
Junior Machine Learning Engineer specializing in LLMs, data pipelines, and MLOps
Mid-level Data Scientist specializing in NLP, MLOps, and semiconductor manufacturing analytics
Mid-level Machine Learning Engineer specializing in MLOps and cloud-native ML systems
Senior Data Scientist specializing in NLP, LLMs, and Generative AI automation
Senior Machine Learning Engineer specializing in multimodal AI and biomedical data
Senior AI/ML Software Engineer specializing in LLMs, NLP, and scalable ML platforms