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Vetted Retrieval-Augmented Generation (RAG) Professionals
Pre-screened and vetted.
Margil Gandhi
Mid-level Product Leader specializing in AI, FinTech, and Travel Tech
“Product leader and startup co-founder with ~6 years of end-to-end ownership, spanning a travel SaaS business and AI workflow products at Goldman Sachs. Particularly compelling for AI/knowledge products: built a RAG-based Copilot used by 2,000+ agents with ~95% answer accuracy in a regulated environment, and also created a side-project knowledge engine indexing 270 podcast episodes with semantic search and citations.”
Moh Abdullah
Senior AI/ML Engineer specializing in Generative AI, LLMs, and production ML systems
“ML/AI engineer with hands-on ownership of both classical ML and GenAI systems in production. They built an end-to-end churn prediction service on AWS and also shipped RAG-based document search/summarization features, with clear experience in monitoring, hallucination reduction, cost/latency optimization, and creating shared Python/LLM infrastructure used across teams.”
Rajeshwar Ragupatula
Director-level AI Architect/Manager specializing in GenAI, MLOps, and enterprise automation
“GenAI/ML engineering leader (player-coach) who built and deployed an image-to-text production system for topology/resource diagrams, combining YOLO-based issue detection with an LLM to generate support-ready reports at scale. Heavy AWS stack (SageMaker, Step Functions, Lambda, CloudWatch, FastAPI, Kubernetes/Docker) with KPI-driven optimization (MTTR, P50), including ~21 custom labels and reported 30–50% faster issue identification while processing thousands of images in production.”
Mid-Level Software Engineer specializing in ML platforms and full-stack systems
Mid-level AI Engineer specializing in Generative AI, LLMs, and RAG systems
Mid-level Python Full-Stack Developer specializing in AI-driven cloud applications
Mid-level AI Software Engineer specializing in LLM agents and workflow orchestration
Senior Software Engineer specializing in AI, full-stack products, and developer tools
Director-level Product Leader specializing in AI, data, and enterprise SaaS
Mid-level Software Engineer specializing in distributed systems and AI infrastructure
Principal Engineering Leader specializing in AI platforms and game backend systems
Intern Software Engineer specializing in full-stack and AI systems
Junior Software Engineer specializing in cloud-native full-stack development
Senior Full-Stack Python Developer specializing in FinTech and cloud-native systems
Executive Technology Leader specializing in AI, FinTech, and Blockchain
Senior Backend Engineer specializing in distributed systems and AI platforms
Intern Deep Learning Engineer specializing in LLM agents and on-device multimodal inference