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Vetted Predictive Modeling Professionals
Pre-screened and vetted.
Mid-level Supply Chain Analyst specializing in analytics, ERP/TMS integration, and optimization
Mid-level Research Scientist specializing in reinforcement learning and safety-critical robotics
Senior GenAI Engineer specializing in enterprise LLM systems and RAG platforms
Mid-level Data Scientist / ML Engineer specializing in risk, fraud, NLP and recommender systems
Mid-level Data Scientist specializing in LLMs and applied machine learning
Mid-level Data Scientist / AI/ML Engineer specializing in financial services and GenAI
Mid-level Full-Stack Developer specializing in React/Node and cloud dashboards
Mid-level Data Scientist specializing in ML, NLP, and scalable data pipelines
Mid-level Data Scientist specializing in NLP, risk analytics, and MLOps
Mid-level Machine Learning Engineer specializing in Generative AI, NLP, and recommender systems
Mid-level Data Scientist specializing in GenAI, NLP, and cloud MLOps
Mid-level Full-Stack Java Developer specializing in cloud microservices and React
Mid-level Data Engineer specializing in cloud data platforms and BI analytics
Senior Data Strategy & AI Product Consultant specializing in analytics platforms and privacy-safe measurement
Tushar Jayendra Mhatre
Intern Data Scientist/ML Engineer specializing in generative AI and ML platforms
“AI Engineering Intern at The Etherloop building the backend for a healthcare lifestyle recommendation app, including a multi-agent RAG-based system that uses curated SME data plus web search to generate personalized supplement recommendations from user lifestyle details and blood biomarkers. Evaluates against 500+ SME ground-truth profiles with ranking metrics and focuses on HIPAA-aligned deployment, privacy/security, and guardrails to reduce hallucinations and unsafe outputs.”
Bharath Reddy Nallu
Mid-level Machine Learning Engineer specializing in NLP and scalable MLOps
“Data/ML engineer in financial services (Northern Trust) who built a production RAG-based LLM system to connect structured transaction/portfolio data with unstructured market and internal documents for risk teams. Strong in end-to-end pipelines (AWS Glue/Airflow/PySpark), entity resolution, and taking models from prototype to reliable daily production with performance tuning (LoRA + TensorRT) and monitoring.”
Rodolfo Lopez
Senior Math Educator transitioning to Data Science & Business Analytics
“Recent McCombs School of Business (UT Austin) Post Graduate Program graduate in Data Science & Business Analytics with hands-on project experience spanning stock clustering/segmentation and hotel booking-cancellation prediction. Strong in end-to-end analysis workflows (EDA, cleaning, feature engineering) and rigorous model comparison/selection, with exposure to boosting methods and imbalanced-data techniques; limited experience so far with embeddings/vector databases and production deployment.”
Sudheer koki
Mid-level AI/ML Engineer specializing in predictive modeling, data pipelines, and RAG systems
“Built and productionized an LLM-powered internal knowledge search system in a regulated environment, using embeddings/vector DB retrieval with strict grounding and confidence gating to reduce hallucinations. Reported ~45% accuracy improvement over keyword search and implemented end-to-end orchestration, monitoring, CI/CD, and incremental re-indexing to manage latency and data freshness while driving adoption with business stakeholders.”
Mid-level Data Scientist / Machine Learning Engineer specializing in NLP and computer vision
Executive Technology Leader (CTO/CPO) specializing in digital transformation, ERP, AI/ML, and M&A