Vetted Hugging Face Professionals

“AI/ML engineer with 9+ years of experience building production recommendation and LLM systems end-to-end, from experimentation through deployment, monitoring, and retraining. Stands out for combining strong MLOps discipline with practical GenAI/RAG implementation, including measurable impact such as ~25% higher engagement on an e-commerce recommender and nearly 30% faster knowledge retrieval from internal documents.”

“Full-stack and AI product engineer with strong accessibility and voice-interface experience in senior living, building systems for older adults where trust and usability are critical. Has shipped React/TypeScript and .NET MAUI products, productionized Azure OpenAI features, built RAG-based research tools, and improved both product outcomes and technical performance with measurable impact.”

“Senior full-stack engineer with 7+ years of Python-centric experience who has worked in lean startup environments and personally drove backend architecture for a data-intensive B2B analytics platform. Stands out for navigating ambiguous, fast-changing requirements while improving scalability and performance through Redis, Celery, RabbitMQ, and PostgreSQL optimization.”

“Full-stack/backend-leaning engineer who owned Shoptaki's Smart ID authentication platform end to end, building a centralized identity system that secured four services and removed duplicated auth logic. Also introduced and operationalized Claude Code in a TypeScript microservices environment, using prompt refinement, CI, and code review guardrails to improve development speed without compromising architecture or security.”

“Built an AI GTM Copilot that consolidated 5+ sales tools into a single browser-based workflow for sales teams, combining LLMs, data enrichment, and outreach automation. Brings a rare blend of ML, backend, and front-end experience, with concrete wins in performance optimization, workflow design, and measurable UX improvements.”

“Full-stack product engineer with hands-on ownership of both real-time product infrastructure and production AI systems. They shipped a notification platform that materially improved engagement and repeat purchases, and also built key layers of an AI support agent with strong reliability controls and user-centered UX improvements that boosted adoption.”

“Robotics software candidate who built a Q-learning smart delivery drone navigation system, focusing on 2D path planning with dynamic obstacle avoidance using reward shaping and real-time sensor feedback. Actively learning ROS 2 by building Python simulation projects with publisher/subscriber patterns and has experience coordinating multi-agent drone simulations via message passing.”

Kathan Patel

Screened

Mid-level Generative AI Developer specializing in Python and LLM applications

5y exp

“Currently working on Kavia AI, an end-to-end AI coding platform that lets users generate enterprise applications from prompts and existing codebases via SCM integrations. The candidate has hands-on experience across the GenAI stack—prompt engineering, LangGraph-based multi-agent orchestration, RAG, knowledge graphs, FastAPI, and AWS monitoring—with a focus on making software creation accessible to non-technical users.”