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Vetted Data Scientists in Illinois
Pre-screened and vetted in Illinois.
Meghana P
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and NLP
“AI/ML engineer with forensic analytics and healthcare claims experience (Optum), building production LLM/RAG systems to surface context-driven fraud patterns from unstructured claim notes and explain risk to investigators. Strong in large-scale retrieval performance tuning, legacy API integration with reliability patterns (SQS, circuit breakers), and MLOps orchestration on Airflow/Kubernetes with rigorous testing, monitoring, and stakeholder-friendly interpretability.”
Sameer Shaik
Senior AI Engineer specializing in Generative AI, NLP, and applied deep learning
“Built a production multi-agent LLM system at Live Nation on Databricks (LangGraph/LangChain) that let venue/event teams ask questions in Slack, auto-generated optimized route schedules, and produced inventory/stocking recommendations from historical SQL data and venue trends. Improved reliability by tightening prompts with strict JSON schemas, providing sample questions/SQL, and adding guardrails plus synthetic/edge-case testing, while iterating with event managers and senior VPs via prototypes and feedback loops.”
Mid-level Machine Learning Engineer specializing in generative AI and NLP
Mid-level Data Scientist specializing in machine learning, NLP, and cloud deployment in financial services
Mid-level Machine Learning Engineer specializing in Generative AI and MLOps
Mid-level AI/ML Engineer specializing in cloud ML, NLP/LLMs, and real-time data pipelines
Mid-level Data Scientist specializing in ML, NLP, and scalable data pipelines
Senior AI/ML Engineer specializing in MLOps and Generative AI (LLMs/RAG)
Teja Babu Mandaloju
Mid-level Data Scientist/MLOps Engineer specializing in NLP, GenAI, and cloud ML platforms
“AI/ML engineer who led production deployment of a multimodal (text/video/image) RAG system on GCP using Gemini 2.5 + Vertex AI Vector Search, scaling to 10M+ documents with sub-second latency and +40% retrieval accuracy. Strong MLOps/orchestration background (Kubernetes, CI/CD, Airflow, MLflow) with proven impact on reliability (75% fewer incidents) and deployment speed (92% faster), plus experience delivering explainable ML (XGBoost + SHAP + Tableau) to non-technical retail stakeholders.”
Mid-level Data Scientist specializing in Generative AI, LLMs, and MLOps
Mid-level Data Scientist specializing in healthcare and fraud analytics with GenAI/LLM expertise
Mid-level AI Engineer specializing in LLM apps, RAG pipelines, and agentic workflows
Mid-level Data Scientist/MLOps Engineer specializing in NLP, GenAI, and cloud ML platforms
Senior Data Scientist specializing in fraud detection and credit risk modeling
Junior Machine Learning Engineer specializing in real-time inference and production ML systems
Mid-level Data Scientist specializing in computer vision and behavioral analytics
Mid-level AI/ML Research Engineer specializing in NLP, LLM agents, and multimodal systems
Mid-level AI/ML Research Engineer specializing in NLP, LLM agents, and multimodal systems