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Vetted Regression Analysis Professionals
Pre-screened and vetted.
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 Engineer specializing in cloud lakehouse and streaming platforms
Mid-level Financial Analyst specializing in digital payments, treasury, and financial modeling
Intern-level economist and strategy analyst specializing in econometrics and macroeconomic research
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 GenAI/ML Engineer specializing in LLMs, RAG, and agentic AI
Mid-level Data Scientist specializing in financial ML, NLP, and MLOps
Soham Patel
Mid-level Machine Learning Engineer specializing in healthcare NLP and MLOps
“ML/AI practitioner in healthcare (Syneos Health) who has deployed production clinical NLP and risk models. Built a BERT-based physician-note information extraction system on Docker + AWS SageMaker (reported ~42% retrieval improvement) and automated retraining/deployment with Airflow and drift detection, while partnering closely with clinicians to drive adoption (reported ~18% readmission reduction).”
AnilKumar Kanakadandila
Mid-level Data & AI Engineer specializing in data engineering, analytics, and LLM/RAG apps
“Built a production RAG-based “unified assistant” that consolidates siloed company documents into a single chatbot while enforcing fine-grained access control via RBAC/metadata filtering with OAuth2/JWT. Experienced orchestrating LLM workflows with LangChain/LangGraph + FastAPI (async + caching) and measuring performance via retrieval accuracy and response-time SLAs. Also delivered a churn analytics solution with dashboards and automated retention campaigns using n8n.”
shiva kumar kotha
Mid-level AI/ML Engineer specializing in Generative AI and healthcare data
“Built and deployed a production RAG-based document Q&A system on Azure OpenAI to help business teams search thousands of PDFs/Word files, using Qdrant vector search, MongoDB, and a Flask API. Demonstrates strong production engineering (streaming large-file ingestion, parallel preprocessing, monitoring/retries) plus systematic prompt/embedding/chunking experimentation to improve accuracy and reduce hallucinations, and has hands-on orchestration experience with ADF/Airflow/Databricks/Synapse.”
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.”