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Vetted Machine Learning Professionals
Pre-screened and vetted.
Director-level Product & Data Platform Leader specializing in AI, cloud data, and enterprise governance
Senior Data Scientist / AI-ML Engineer specializing in LLMs, NLP, and MLOps
Junior Full-Stack Software Engineer specializing in distributed systems and scalable platforms
Mid-Level Software Engineer specializing in distributed systems and cloud platforms
Mid-Level Low-Code Developer specializing in Dynamics 365 and Power Platform
Director-level AI Engineering Leader specializing in LLMs, ML platforms, and cloud transformation
Mid-level Machine Learning Engineer specializing in LLMs, Generative AI, and MLOps
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Senior Data Scientist and Machine Learning Researcher specializing in NLP, LLMs, and MLOps
Mid-level AI/ML Engineer specializing in Generative AI and RAG assistants
Principal Enterprise Solutions Architect specializing in AI & data platforms
Junior Software Engineer specializing in backend, microservices, and cloud
Senior QA Engineer specializing in game and interactive application testing
Senior Full-Stack Software Engineer specializing in Python, React, and LLM-powered applications
Himanshu Kiran Garud
Mid-Level Software Engineer specializing in full-stack web and data engineering
“Backend/ML engineer who has built both enterprise data pipelines and real-time AI products: modular Python (Flask/FastAPI) services integrating automation scripts and low-latency ML inference (MediaPipe, PyTorch) plus OpenAI-powered feedback. Demonstrated measurable performance wins (~30% faster HR workflows; ~40% faster AWS pipelines across 100+ Oscar Health feeds) and strong multi-tenant/data-isolation patterns (schema-based isolation, RBAC, microservices).”
Dhruv Kamalesh Kumar
Mid-level Generative AI Engineer specializing in LLM agents and RAG applications
“GenAI builder and technical lead with ~2 years of hands-on production experience, including GENIE (a GenAI sandbox for ~44,000 Massachusetts public-sector employees) and A-IEP, a multilingual platform helping parents understand complex IEP documents (cut processing from ~15 minutes to ~2 and used by 1,000+ parents). Strong in RAG/agentic architectures, AWS serverless + Step Functions orchestration, and rigorous evaluation/guardrails for reliable real-world deployments.”