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Vetted Predictive Modeling Professionals
Pre-screened and vetted.
Executive CTO specializing in Generative AI, GPU computing, and 3D graphics
Staff Machine Learning Engineer specializing in LLMs and Generative AI
Staff Data Scientist specializing in machine learning, deep learning, and big data
Junior Software Engineer specializing in AI/ML and recommendation systems
Executive AI/ML Engineer specializing in LLMs, NLP, and production ML systems
Senior Software Engineer specializing in ML, distributed systems, and GenAI search
Neeraj Sharma
Executive Engineering Leader specializing in AI/ML platforms and cloud-scale distributed systems
“Senior engineering/technology leader with experience driving board-backed, multi-year platform transformations in retail commerce (American Eagle) and scaling ML/product delivery platforms at Amazon Alexa. Known for data-driven build-vs-buy decisions, org scaling (6→80), and measurable outcomes including 98.5%→99.9% uptime, 234 experiments generating ~$200M revenue lift, and increasing delivery velocity from 1.5 to 30 features/week while transitioning to DNN/large-model architectures.”
Executive Blockchain Analytics Founder/CEO specializing in institutional-grade data platforms
Staff AI Full-Stack Engineer specializing in LLMs, multi-agent systems, and Voice AI
Senior AI/ML Engineer specializing in recommender systems, GenAI, and applied ML
Mid-Level Software Engineer specializing in backend systems, payments tokenization, and ML
Executive Founder-Operator specializing in AI-native products, operations, and GTM
Vishanth Iyer
Senior AI/ML Engineer specializing in LLMs, multimodal AI, and scalable MLOps
“ML/NLP engineer with experience at NVIDIA and Cruise building production-grade AI systems across genomics/biomedical research and autonomous vehicle data. Has delivered multimodal LLM pipelines, large-scale entity resolution, and hybrid semantic search (BERT embeddings + FAISS + Elasticsearch), with measurable impact (≈40% accuracy/retrieval gains; ≈30% data consistency improvement) and strong MLOps practices (Kubernetes, CI/CD, MLflow, Prometheus/Grafana).”
Mid-Level Backend Software Engineer specializing in payments and real-time analytics
Senior Data Scientist / ML Engineer specializing in LLMs, generative AI, and MLOps
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and scalable inference
Director-level Engineering Leader specializing in personalization platforms, MLOps, and GenAI
Staff Software Engineer specializing in applied AI agents and full-stack product development
Senior AI/ML & Data Scientist specializing in NLP, knowledge graphs, and semantic search
Craig Leathers
Staff Data Analytics Lead / Data Scientist specializing in manufacturing process control
“Intel veteran who applied multiple linear regression and time-series drift analysis to semiconductor lithography overlay/metrology data, feeding model outputs into automated process control. Comfortable working across Python, VBA, and JMP/JSL, with a pragmatic approach to validation (RMSE + trend visualization) and data quality via close coordination with measurement/metrology teams.”
Anand Vallamsetla
Executive Engineering Leader & Systems Architect specializing in AI, cloud platforms, and FinTech
“Operator with 20+ years experience and a business degree who led the build and deployment of a Medicaid fraud investigation product for Texas HHSC OIG, cutting investigation time from ~2 years to 90 days. Has government go-to-market experience and has raised a friends-and-family round for an earlier startup concept; now pivoting toward a healthcare-focused venture after a cofounder with core tech could not continue.”
Director-level AI/ML Technology Leader specializing in healthcare and life sciences
Senior Management Consultant specializing in growth strategy and digital transformation