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Vetted Embeddings Professionals
Pre-screened and vetted.
Karthik O
Mid-level AI Software Engineer specializing in LLM systems and cloud APIs
“Built and productionized an LLM-powered support/knowledge pipeline using embeddings and retrieval (RAG) to deliver more grounded, higher-quality responses while reducing manual effort. Focused on real-world reliability and performance—adding structured validation/guardrails, optimizing vector search and context size for latency/scale, and monitoring failure patterns in production. Experienced with orchestration via LangChain for LLM workflows and Airflow for production data/ML pipelines, and iterates closely with operations stakeholders through demos and feedback.”
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).”
Mid-level AI/ML Engineer specializing in NLP, MLOps, and production ML systems
Junior Product & Full-Stack Engineer specializing in AI and analytics automation
Mid-level AI/ML Engineer specializing in LLM chatbots and computer vision for medical imaging
Senior AI/ML Engineer specializing in Generative AI agents and RAG systems
Senior Machine Learning Engineer / Data Scientist specializing in LLMs, RAG, and MLOps
Intern Machine Learning Engineer specializing in RAG, semantic search, and applied NLP
Intern Full-Stack/AI Engineer specializing in LLM applications and RAG systems
Mid-level Data Analyst and AI Engineer specializing in NLP, RAG, and BI analytics
Mid-Level Full-Stack & AI Engineer specializing in GenAI and cloud platforms
Mid-level AI Engineer specializing in ML platforms, recommender systems, and GenAI/RAG
Mid-Level Machine Learning Engineer specializing in production LLM systems and full-stack delivery
Mid-level Machine Learning Engineer specializing in agentic AI, computer vision, and NLP
Staff AI Software Engineer specializing in agentic LLM systems and distributed platforms
Senior Data Scientist / AI/ML Engineer specializing in NLP, LLMs, and RAG systems
Full-Stack AI Engineer specializing in LLM applications and cloud-native systems
Mid-level Full-Stack Java Developer specializing in microservices, cloud, and React
Junior AI/ML Engineer specializing in computer vision and LLM-powered systems
Mid-level AI/ML Engineer specializing in MLOps, real-time pipelines, and cloud deployment