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Vetted Model Deployment Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in healthcare analytics and generative AI
Mid-level AI/ML Engineer specializing in GenAI, NLP, and AWS MLOps
Mid-Level Software Engineer specializing in cloud-native microservices and data platforms
Mid-level Machine Learning Engineer specializing in production MLOps and healthcare analytics
Mid-level Machine Learning Engineer specializing in NLP, risk modeling, and MLOps
Mid-level Software Engineer specializing in Generative AI and cloud-native microservices
Senior AI/ML Engineer specializing in Agentic AI, RAG, and LLM systems
Senior Backend Software Engineer specializing in distributed systems and data pipelines
Mid-level GenAI/MLOps Engineer specializing in banking and healthcare LLM applications
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and cloud deployment
Mid-level Machine Learning Engineer specializing in MLOps, fraud detection, and data security
Mid-level AI Systems Engineer specializing in agentic evaluation and multimodal voice agents
Mid-level Machine Learning Engineer specializing in MLOps and Generative AI
Senior Machine Learning Software Engineer specializing in Azure enterprise AI
Junior Machine Learning Software Engineer specializing in cloud-deployed predictive models
Mid-level AI Engineer specializing in retail personalization and LLM-powered systems
Mid-level AI/ML Engineer specializing in FinTech and production ML systems
Shreevershith Kollabettu
Mid-level AI Engineer specializing in LLMs, agentic systems, and MLOps
“AI-focused engineer with Infosys experience building Azure/.NET chatbot applications and recent hands-on work with FastAPI/LangChain. Built a hackathon multi-agent legal counsel system showcasing agent orchestration, and emphasizes production readiness via Docker, GitHub Actions CI/CD, pytest automation, and adversarial simulations for auditable AI behavior. No direct robotics/ROS experience to date.”
sai anuragh Sangoju
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP
“Built and deployed a production LLM-powered university support chatbot on Azure using a RAG pipeline, focusing on reducing hallucinations, improving latency, and handling ambiguous queries via confidence checks and clarification prompts. Also has hands-on orchestration experience (Airflow/Azure Data Factory), including hardening a demand-forecasting ingestion workflow with sensors, retries, and automated alerts, and uses a metrics-driven testing/monitoring approach for reliable AI agents.”
Mark Wlodawski
Senior Unity Developer specializing in AI/LLM systems and multiplayer VR
“Backend/data engineer focused on AWS-native Python systems: built a FastAPI microservice on ECS/Fargate serving real-time analytics at millions of daily requests with strong reliability (OAuth2/JWT, retries/timeouts, correlation IDs) and autoscaling. Also delivered Glue/PySpark ETL pipelines to curated S3 Parquet/Athena with schema evolution + data quality controls, owned Airflow pipeline incidents, and has a track record of measurable performance and cost optimizations (e.g., ~80%+ query latency reduction; reduced logging/NAT/Fargate spend).”