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Vetted Vertex AI Professionals
Pre-screened and vetted.
Tarun Abhaye Thiagarajan
Mid-level Solutions Architect specializing in Enterprise AI and SaaS
“Enterprise implementation/deployment specialist focused on HRMS and payroll systems across APAC customers, combining cloud/hybrid (AWS/Azure/GCP) integration work with strong client-facing delivery. Demonstrated ability to debug complex production issues across application, database, and network layers (e.g., isolating VPN/router congestion) and to tailor Python-based data cleaning/scoring/utilities to customer-specific workflows.”
Prabir Nandi
Staff Software Engineer specializing in cloud platforms, Kubernetes, and AI-driven engineering
“Built a production AI stylist agent for retail store associates that pulls customer loyalty, address, and purchase-history data to generate in-store product recommendations. Demonstrates hands-on experience across agent orchestration, MCP-based tool integration, Vertex AI/GCP deployment, observability, resilience patterns, and pragmatic production tradeoffs like using PostgreSQL with pgvector instead of a standalone vector database.”
Raj Shrinivasan
Principal AI Engineer specializing in agentic systems and cloud-native platforms
“Built a production RAG-powered analytics copilot at Aya Healthcare for operations leaders and analysts on a large healthcare staffing platform processing over a billion telemetry records annually. Stands out for strong production-minded agent engineering: deterministic orchestration, grounding-first design, deep observability, and data-driven workflow changes such as confidence-based human review for a PR review agent.”
Saketh Kota
Mid-level Data Scientist / ML Engineer specializing in Generative AI, RAG, and MLOps
“Built and productionized a RAG-based LLM research assistant for biomedical and regulatory document search using Mixtral 7B on SageMaker, LangChain, and Milvus, cutting research time by ~40%. Has hands-on multi-cloud MLOps experience across AWS/Azure/GCP with Kubeflow/Airflow/Composer plus Terraform + ArgoCD, and applies rigorous evaluation/monitoring (latency, accuracy, hallucinations). Also partnered with a non-technical PM to deliver an insurance policy Q&A chatbot that reduced customer response time by 30%+.”
Mid-level Prompt Engineer specializing in Generative AI and RAG systems
Mid-level Data Scientist specializing in AI/ML for healthcare analytics
Junior Data & Machine Learning Engineer specializing in MLOps and data pipelines
Mid-level AI/ML Engineer specializing in Generative AI, RAG pipelines, and NLP
Mid-level Generative AI & Machine Learning Engineer specializing in LLMs, RAG, and multimodal AI
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps
Mid-level AI Engineer specializing in computer vision, NLP, and MLOps
Mid-level AI/ML Engineer specializing in healthcare ML systems and cloud MLOps
Mid-level AI & Machine Learning Engineer specializing in Generative AI, NLP & MLOps
Mid-level AI/ML Engineer specializing in NLP, GenAI, and cloud MLOps
Executive AI & Software Architect specializing in agentic AI platforms
Mid-level Data Scientist specializing in Generative AI, LLMs, and MLOps
Mid-level AI/ML Engineer specializing in MLOps, fraud detection, and LLM/NLP systems
Mid-level Data Scientist specializing in ML, NLP, and Generative AI
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and LLM-powered healthcare systems
Mid-Level Software Development Engineer specializing in full-stack and cloud systems
Mid-level AI/ML Engineer specializing in LLMs, RAG, and MLOps