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Vetted Recommender Systems Professionals
Pre-screened and vetted.
Senior AI and Full-Stack Engineer specializing in Healthcare IT and FinTech
Senior Software Engineer specializing in backend systems and distributed platforms
Mid-level AI/ML Engineer specializing in LLM RAG pipelines and cloud MLOps
Mid-level Data Scientist/ML Engineer specializing in LLMs, NLP, and recommender systems
Senior AI/ML Engineer specializing in healthcare and fintech AI systems
Mid-level AI/LLM Engineer specializing in generative AI and ML systems
Mid AI/Machine Learning Engineer specializing in LLMs, NLP, and Computer Vision
Mid-level Machine Learning Engineer specializing in fraud detection and recommendations
Mid-level Data Scientist specializing in GenAI, LLMs, and MLOps
Senior Data Scientist specializing in predictive modeling and recommendation systems
Executive Engineering Leader specializing in E-commerce, SaaS, and EdTech platforms
Senior AI Engineer specializing in healthcare and FinTech AI systems
Senior Software Engineer specializing in Python backend and distributed systems
Director-level AI and Software Engineering leader specializing in enterprise platforms
Robert Elwell
Executive Engineering Leader specializing in cloud platforms, DevOps, and security
“Senior engineering/CTO-level leader with hands-on delivery of serverless, event-driven cloud governance platforms (deployed across multiple GE business units) and experience building adaptable usage-based billing at UserTesting. Has advised startups (including CaseText during YC) and supported fundraising and acquisition due diligence, including investor materials for a smart cooler custody management system presented to BARDA during Operation Warp Speed.”
Asrith Velireddy
Mid-level AI/ML Engineer specializing in MLOps, LLMs, and scalable ML systems
“ML/LLM engineer at Adobe who deployed a transformer-based personalization and campaign-targeting recommender system end-to-end, including PySpark/Airflow pipelines processing 12M+ events/day and containerized inference on AWS SageMaker (Docker/Kubernetes). Also has hands-on LLM workflow experience (RAG, semantic search, prompt optimization, hallucination mitigation) with a metrics-driven approach to reliability, drift monitoring, and reproducible retraining via MLflow.”
Madison Heck
Staff Product Manager specializing in AI products and SaaS platforms
“AI product leader with end-to-end experience building revenue-generating products and internal AI platforms across legal tech, edtech, and neurofeedback healthcare. At Clio, they helped launch the company's first AI offerings, drove $60K MRR in two months, scaled the AI team from 15 to 45, and enabled 12 additional AI applications across the business. They also bring a strong human-centered AI perspective from building tutor matching, lesson-planning, and clinician recommendation systems.”
Sagnik Mazumder
Executive ML/AI Founder specializing in agentic analytics and data infrastructure
“Founder of Photosphere Labs (agentic AI for ecommerce data synthesis/analysis) who worked directly with customers to scope, build, demo, and iterate LLM-based solutions, including an AI chat product for brand owners. Previously at Block, built and explained a nuanced causal inference/propensity model tied to Square POS integrations, translating model specs and outputs into business impact for varied client contexts.”
Sairam Bodapothula
Mid-level AI/LLM Engineer specializing in generative AI and ML systems
“AI/LLM-focused engineer with hands-on experience building RAG pipelines, prompt engineering workflows, and multi-agent systems using tools like LangChain. Stands out for combining AI-assisted development with production-grade validation and for leading the architecture/orchestration of agent-based recommendation systems that improved response time, accuracy, and scalability.”