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Vetted Model Evaluation Professionals
Pre-screened and vetted.
Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal systems
Senior Machine Learning Engineer specializing in ranking, recommendation, and generative AI
Senior Software Engineer specializing in AI/ML infrastructure and GenAI
Senior Full-Stack AI Engineer specializing in LLM and speech-to-text products
Senior Full-Stack AI Engineer specializing in generative AI and cloud platforms
Senior AI/ML Engineer specializing in LLM systems and FinTech platforms
Senior Full-Stack AI Engineer specializing in LLM/RAG and production ML platforms
Jayaprakash Majji
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and scalable inference
“ML/LLM engineer who built and shipped an LLM-powered internal knowledge assistant at Meta, focusing on production-grade RAG to reduce hallucinations and improve trust. Deep experience with scaling and serving (FSDP/DeepSpeed/LoRA, Triton, Kubernetes autoscaling) and reliability practices (Airflow retraining, MLflow versioning, monitoring with rollback), including sub-100ms latency and ~35% GPU memory reduction.”
Brian Gomez
Senior Machine Learning Engineer specializing in AI/ML, NLP, and computer vision
“McKinsey & Company ML/NLP practitioner who builds production-grade AI systems across sectors (notably healthcare and finance), including RAG/LLM solutions, entity resolution pipelines, and embedding-powered search with vector databases. Demonstrated measurable impact (40% reduction in data duplication) and strong MLOps/data workflow practices (Airflow, MLflow, Spark, AWS/GCP, Prometheus, CI/CD).”
Deepak Guntreddi
Mid-level Full-Stack Developer specializing in Java/Spring Boot and React
“NVIDIA engineer who built and shipped a production LLM-powered enterprise knowledge system (summarization, transcription, and Q&A) that cut document retrieval time ~30%. Deep hands-on experience with RAG (FAISS/Pinecone), GPU-accelerated microservices on AWS, and reliability/safety practices (Guardrails AI, prompt A/B testing, canary releases) plus strong MLOps orchestration across Airflow, Step Functions, and Kubernetes GitOps.”
Junior Full-Stack Software Engineer specializing in AI agents and generative AI
Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal systems
Mid-level AI/ML Engineer specializing in LLMs, NLP, and MLOps
Senior Research Scientist specializing in LLM verification and fraud/risk modeling
Mid-level Data Scientist / GenAI & ML Engineer specializing in LLM apps and MLOps
Senior Full-Stack AI/ML Engineer specializing in healthcare data platforms
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Director-level AI/ML leader specializing in recommender systems and agentic AI