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Vetted Retrieval-Augmented Generation (RAG) Professionals
Pre-screened and vetted.
Hanuma Sashank S
Mid-level Full-Stack Engineer specializing in cloud data platforms and LLM-powered apps
“Full-stack engineer with healthcare and finance experience who has owned end-to-end production systems across Azure and AWS. Built a real-time clinical dashboard at Centene (React + FastAPI + Azure Event Hubs) that cut data latency from ~12 minutes to under 1 minute and was associated with a 30% reduction in intervention delays. Also delivered MVPs in high-ambiguity environments at Accenture during monolith-to-microservices migration, improving uptime and maintainability with measurable results.”
Gary Chang
Senior Full-Stack Software Engineer specializing in AI-first cloud-native systems
“End-to-end engineer who has productionized AI automation and RAG capabilities, building full-stack systems (React/Node/Redis/Postgres + vector DB) with evaluation-driven quality gates and monitoring. Reported ~60% reduction in manual ops time and major turnaround improvements, and has experience modernizing legacy systems safely via feature flags and parallel runs while working across product, data, and ops teams (System1).”
Vinay shetty
Mid-Level Java Full-Stack Developer specializing in cloud-native microservices
“Full-stack engineer with ~3.5 years of Java Spring Boot and React experience who built an end-to-end banking transaction platform using microservices, Kafka streaming, AWS RDS, and Dockerized CI/CD. Demonstrates strong performance and reliability engineering (async processing, DLQ/retries, idempotency, caching) plus secure cloud deployment practices; has also worked across banking, healthcare, and insurance domains.”
Junior Full-Stack Software Engineer specializing in cloud, data, and GenAI tooling
Mid-level AI/ML Engineer specializing in NLP, MLOps, and production ML systems
Mid-Level Software Engineer specializing in cloud-native full-stack and FinTech systems
Entry-level Machine Learning Engineer specializing in multimodal AI and LLM systems
Junior AI/ML Engineer specializing in LLMs, RAG, and full-stack ML applications
Junior Product & Full-Stack Engineer specializing in AI and analytics automation
Mid-level Full-Stack Software Engineer specializing in cloud, data visualization, and healthcare AI
Senior Full-Stack Engineer specializing in React/Next.js and AI engineering
Junior NLP/ML Engineer specializing in LLM fine-tuning and long-context biomedical NLP
Mid-level Data Scientist specializing in LLMs, fraud detection, and healthcare analytics
Intern Software Developer specializing in cloud platforms, data pipelines, and full-stack apps
Senior AI/ML Engineer specializing in Generative AI agents and RAG systems
Junior Full-Stack Software Engineer specializing in cloud systems and real-time collaboration
Senior Machine Learning Engineer / Data Scientist specializing in LLMs, RAG, and MLOps
Mid-level Full-Stack Software Engineer specializing in FinTech and cloud-native microservices
Intern Software Engineer specializing in full-stack, data engineering, and ML pipelines
Mid-level Software Engineer specializing in Python, GenAI/ML, and cloud-native systems
Mid-level Data Analyst and AI Engineer specializing in NLP, RAG, and BI analytics