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Vetted Regression Analysis Professionals
Pre-screened and vetted.
Mid-level Data Scientist specializing in AI/ML for financial services and retail analytics
Junior AI/Machine Learning Engineer specializing in healthcare applications
Junior AI Engineer specializing in NLP, computer vision, and MLOps
Mid-level Data Scientist & AI Engineer specializing in healthcare and financial risk analytics
Senior Data Science & Machine Learning Engineer specializing in credit risk and predictive analytics
Mid-level AI/ML Engineer specializing in LLMs, forecasting, and MLOps deployment
Senior Data Scientist / ML Engineer specializing in NLP and Generative AI
Junior Robotics & AI Engineer specializing in SLAM, motion planning, and sim2real learning
Mid-level Data Analyst specializing in predictive analytics and BI for financial services
Mid-level Data Scientist specializing in ML, NLP, and production AI workflows
Mid-level AI/ML Engineer specializing in NLP, LLMs, and MLOps
Senior Data Scientist specializing in ML, fraud risk, and Generative AI (RAG/LLMs)
Junior Full-Stack Software Engineer specializing in data-driven web apps and cloud platforms
Mid-level Data Scientist / ML Engineer specializing in LLMs and predictive analytics
Senior Data Scientist specializing in healthcare analytics and scalable ML pipelines
Mid-level Data Scientist specializing in financial ML, NLP, and MLOps
Akshay Danthi
Senior AI Engineer specializing in production GenAI systems
“AI engineer who has shipped production LLM systems end-to-end, including a natural-language-to-SQL analytics copilot for career advisors that achieved ~95% query success through schema grounding, access controls, and automated regression testing with golden queries. Also builds LangGraph-orchestrated multi-step agents (resume analysis, recommendations) and RAG pipelines (PDF ingestion + FAISS) and partners closely with non-technical users to drive adoption and trust.”
Hsi-Chun Wang
Mid-level Data Scientist specializing in LLM development and scalable ML pipelines
“Built and deployed production LLM pipelines for evidence-based scoring in two domains: biomedical literature mining (scoring ~2700 drug compounds vs gene targets/mechanisms) and long-horizon news analytics (35 years of Chinese articles). Emphasizes reliability at scale (retries/checkpointing/validation), rigorous empirical model benchmarking (GPT-4o/mini/5), and translating results into stakeholder-friendly visual narratives.”