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Vetted Model Deployment Professionals
Pre-screened and vetted.
Jamie Cook
Senior Machine Learning Engineer specializing in AI search and recommendation systems
“Built internal production LLM tools for engineering and support, including a customer-health assistant and a RAG-based incident explainer grounded in logs, metrics, and deploy data. Stands out for combining strong GenAI safety/evaluation practices with pragmatic backend engineering, delivering measurable impact like a 40% drop in data-help requests and answers in seconds instead of minutes or hours.”
Preeti Pandey
Senior AI/ML Engineer specializing in predictive analytics and NLP
“ML/AI engineer with hands-on experience building production healthcare AI systems across predictive modeling and GenAI. They built an end-to-end patient risk prediction platform and a RAG-based clinical summarization feature, combining strong NLP/LLM skills with AWS deployment, monitoring, drift detection, and reusable Python service design to deliver measurable clinical and operational impact.”
venu madhav
Mid-level AI/ML Engineer specializing in Generative AI and MLOps
“AI engineer and current tech lead building a RAG-based multi-agent QA platform for financial document analysis at significant scale (40,000-50,000 documents). They combine Python, CrewAI, FastAPI, Hugging Face embeddings, Pinecone, and AWS SageMaker to deliver retrieval, calculation, summarization, forecasting, and visualization workflows, while leading a small cross-functional team.”
Vamsi Krishna Chiguruwada
Senior Frontend Developer specializing in FinTech and Healthcare IT
“Frontend-focused engineer with experience spanning healthcare, enterprise analytics, and real-time trading products. They have owned React/TypeScript dashboard surfaces end-to-end, including a hospital patient dashboard that cut latency by 50%, and have also shaped backend WebSocket contracts to make real-time systems scale.”
Mid-Level Software Engineer specializing in distributed systems and ML pipelines
Mid-level AI/ML Engineer specializing in NLP, computer vision, and MLOps
Mid-level Data Scientist specializing in LLMs, RAG systems, and production MLOps
Mid-Level Software Engineer specializing in cloud-native microservices and FinTech
Mid-level Full-Stack Software Engineer specializing in AI/ML and GenAI platforms
Mid-level AI/ML Engineer specializing in NLP, LLMs, and MLOps
Mid-level AI Data Engineer specializing in ML pipelines, NLP/LLMs, and cloud data engineering
Mid-level Data Scientist specializing in financial ML, forecasting, and NLP/GenAI
Staff AI/ML Engineer specializing in LLM agents, graph-based RAG, and real-time ML platforms
Mid-level GenAI Engineer specializing in LLM platforms and enterprise RAG
Mid-level Software Engineer specializing in AI/ML backend and distributed systems
Mid-level Software Developer specializing in full-stack distributed systems
Intern Machine Learning Engineer specializing in LLM systems and data analytics
Mid-level ML Engineer specializing in generative AI, RAG, and production ML systems
Mid-level Data Scientist specializing in fraud detection and ML pipelines
Intern AI/Robotics Software Engineer specializing in vision-language models and 3D perception
Mid-level Data Scientist specializing in ML, NLP, and MLOps for finance and manufacturing
Mid-level AI/ML Engineer specializing in fraud detection and MLOps
Mid-level AI/ML Engineer specializing in healthcare and fraud analytics