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Vetted Retrieval-Augmented Generation Professionals
Pre-screened and vetted.
Durgaprasad G
Mid-level AI/ML Engineer specializing in LLM infrastructure, RAG, and agentic systems
“Stripe engineer who owned and unified multiple team RAG systems into a shared production platform used by 200+ internal operators, deployed on EKS with Kafka ingestion and hybrid retrieval. Drove measurable business outcomes including <400ms latency, ~35% inference cost reduction, ~25% accuracy lift via fine-tuning, and real-time auto-approval of 80%+ merchant compliance applications through strong observability and reliability patterns.”
Angel Contreras
Senior Data Scientist specializing in machine learning, NLP, and MLOps
“ML/NLP engineer with experience building production-grade legal-tech and data platforms, including a GPT-4/LangChain contract review system using ElasticSearch embeddings (RAG) deployed on AWS EKS. Strong in entity resolution and scalable batch/streaming pipelines (Kafka/Spark), with measurable impact (70%+ reduction in contract review time) and a focus on monitoring and CI/CD for reliable delivery.”
SAI RAM VARMA Budharaju
Mid-level Software Engineer specializing in backend, distributed systems, and ML-integrated platforms
“Built and shipped production AI systems spanning customer support automation at Uber, privacy-preserving federated health modeling on iOS, and an open-source semantic search layer for Postgres. Stands out for combining strong LLM/product instincts with rigorous eval design, measurable production impact, and zero-to-one execution across backend, mobile, and developer infrastructure.”
Gregory Walton
Senior Software Engineer specializing in SRE, cloud automation, and reliability tooling
“Technically oriented builder focused on taking ambiguous LLM/agentic workflow needs from scoped problem definition to iterative prototypes, with emphasis on edge cases and customer feedback. Has hands-on experience debugging RAG/agent systems, including resolving a real integration issue involving search query quoting differences between manual search and an API, and is comfortable fielding deep developer Q&A in demos.”
Junior Security Engineer specializing in LLM-based incident response and on-chain threat intelligence
Senior Machine Learning Engineer specializing in NLP, LLMs, and scalable ML platforms
Senior Software Engineer specializing in distributed systems, AI/ML platforms, and cloud-native SaaS
Senior Full-Stack Software Engineer specializing in SaaS, cloud-native systems, and AI/ML
Senior Software Engineer specializing in AI platforms for healthcare and industrial time-series ML
Staff/Lead Software Engineer specializing in cloud platforms, GraphQL APIs, and GenAI
Executive AI Platform & Innovation Leader specializing in Banking, GenAI, and AI Governance
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and real-time recommendation systems
Staff Machine Learning Engineer specializing in LLMs, recommendations, and MLOps
Mid-level Full-Stack Software Engineer specializing in AWS microservices and GenAI
Principal AI Architect specializing in GenAI, agentic systems, and RAG
Executive Applied AI & Full-Stack Engineering Leader specializing in AI-first product modernization
Senior Software Engineer specializing in scalable APIs, real-time messaging, and data platforms
Junior AI Prompt Engineer specializing in LLMs, RAG, and conversational AI
Mid-level AI/ML Engineer specializing in multimodal and LLM (RAG) systems
Senior Data Scientist specializing in AI/ML platforms for finance and healthcare
Senior AI/ML Engineer specializing in Generative AI and LLM applications