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Vetted Model Evaluation Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in FinTech backend systems
Mid-level Software Engineer specializing in Generative AI and cloud-native microservices
Senior AI/ML Engineer specializing in Agentic AI, RAG, and LLM systems
Mid-level AI/ML Engineer specializing in scalable ML systems and LLM applications
Mid-Level AI Engineer specializing in LLM systems, GPU optimization, and multi-agent orchestration
Mid-level AI/ML Engineer specializing in LLM, RAG, and agentic systems
Mid-level Data Analyst/Data Engineer specializing in machine learning and NLP
Junior AI Engineer specializing in distributed ML pipelines and time-series forecasting
Mid-level Software Development Engineer specializing in Java microservices and FinTech
Junior Machine Learning Engineer specializing in healthcare AI and GenAI RAG
Mid-level AI Software Engineer specializing in LLMs, NLP, and MLOps for healthcare
Staff Full-Stack Engineer specializing in AI agents and cloud platforms
Mid-level Full-Stack Engineer specializing in AI agent infrastructure
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.”
Yashwanth Penugonda
Mid-level AI/ML Engineer specializing in LLMs, RAG, and production GenAI systems
“Built and deployed a production LLM-powered RAG knowledge system to unify operational/policy information across PDFs, wikis, and databases, emphasizing auditability and low-latency/cost performance. Improved answer relevance at scale by moving from pure vector search to hybrid retrieval with metadata filtering and reranking, and partnered closely with healthcare operations/compliance to define acceptance criteria and human-in-the-loop guardrails.”
revanth polthi
Mid-level Data Scientist specializing in Generative AI and MLOps
“GenAI/LLM engineer with production experience at Allstate building an end-to-end document intelligence workflow for insurance operations—automating document intake, classification, and risk signal extraction. Emphasizes high-reliability design for regulated/high-stakes outputs using schema enforcement, confidence thresholds, validation rules, and human-in-the-loop routing, with metric-driven offline evaluation and production monitoring.”
Senior Technical Customer Success Manager specializing in enterprise telecom and video delivery