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Vetted Model Evaluation Professionals
Pre-screened and vetted.
Senior AI/ML Developer specializing in LLMs, RAG, and generative AI
Senior AI/ML Engineer specializing in Generative AI, NLP, and LLM systems
Junior Software Engineer specializing in ML, computer vision, and data engineering
Mid-level AI/ML Engineer specializing in RAG systems and cloud data platforms
Junior Software Engineer specializing in Trust & Safety, QA automation, and ML
Mid-level AI/ML Engineer specializing in MLOps, real-time ML, and LLM/RAG systems
Mid-level AI/ML Engineer specializing in GenAI, LLMs, and RAG pipelines
Principal Data Scientist specializing in Generative AI and MLOps
Mid-level AI & ML Engineer specializing in NLP, LLMs, and scalable ML systems
Intern Business Analyst specializing in product analytics and business intelligence
Junior Software Engineer specializing in cloud infrastructure and AI systems
Mid AI/ML Engineer specializing in LLM systems and inference optimization
Pavan Devulapalle
Mid-level Software Engineer specializing in cloud platforms and AI-integrated full-stack development
“Backend engineer who built Flask-based internal APIs supporting GenAI-driven provisioning/diagnostics (Outpost/AWS Outposts-like environment), with deep hands-on optimization across Postgres/SQLAlchemy (2s to <200ms endpoint improvement). Experienced integrating ML/LLM workflows via AWS SageMaker and Bedrock, and designing multi-tenant isolation plus high-throughput Redis-backed background task pipelines (minutes to seconds).”
Gagan Mundada
Intern Machine Learning Engineer specializing in multimodal AI and evaluation benchmarks
“ML-focused candidate with beginner ROS/ROS2 experience (custom pub-sub nodes; TurtleBot3 SLAM simulation debugging via topic inspection and transform/orientation checks). Has research/project exposure to LLM training approaches (GRPO with pseudo-labels using Hugging Face TRL on Qwen/Llama) and uses Docker/Kubernetes + CI/CD to run ViT saliency-attention/compression workloads on UCSD Nautilus infrastructure.”
Abhay Murjani
Director-level Data Science Manager specializing in ML forecasting, experimentation, and MLOps
“Data/ML engineer with experience at American Express and Amazon, owning an end-to-end rewards redemption/liability ML pipeline (~200GB) with rigorous regulatory/audit validation and quarterly executive reporting. Also built web-scraped product datasets with anti-bot protections at a startup and helped modernize an authn/authz service using AWS, plus led early-stage migration work from an internal warehouse to GCP with CI/CD and cloud observability.”