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Vetted Hugging Face Professionals
Pre-screened and vetted.
Vinh Ly
Staff Software Engineer specializing in scalable full-stack FinTech systems
“Full-stack/backend engineer with recent hands-on experience building an AI-powered AML/KYC platform for financial institutions, spanning Go/Python backend services, real-time risk pipelines, and React/TypeScript analyst dashboards. Stands out for measurable compliance-tech impact: 94% fewer false positives, review times reduced from days to hours, and microservices processing 10,000+ transactions per second.”
Senior Software Engineer specializing in distributed systems, AI/ML, and healthcare platforms
Senior AI Engineer specializing in LLMs, RAG, and production ML systems
Senior Applied AI Engineer specializing in recommendation, search, and ML platforms
Senior Applied AI Platform Engineer specializing in RAG and LLM systems
Staff Software Engineer specializing in FinTech, payments, and AI platforms
Senior AI/ML Engineer specializing in LLM applications, RAG systems, and MLOps
Staff Machine Learning Scientist specializing in NLP, LLMs, and Generative AI
Nathan Telles
Staff Software Engineer specializing in distributed systems, cloud platforms, and AI services
“Meta engineer who owned end-to-end production systems for AI-enabled smart glasses, spanning React/TypeScript apps through Node/Java microservices on AWS EKS with Kafka/Postgres. Built and productionized a real-time RAG pipeline (LangChain + OpenAI + Elasticsearch) with rigorous guardrails (shadow/canary, fallbacks, monitoring), delivering major improvements in latency (~35–40%), error reduction (~30%), and engagement (reported +40% DAU).”
Daozheng Chen
Staff Full-Stack AI Engineer specializing in FinTech and Enterprise SaaS
“Full-stack engineer with Yahoo Finance experience building AI-powered investment and analytics features. They combine modern TypeScript/React/NestJS development with strong backend systems skills in PostgreSQL, Redis, Kafka, and Kubernetes, and have driven architectural improvements from synchronous workflows to event-driven microservices in a high-traffic financial environment.”
Senior AI/ML Engineer specializing in recommender systems, GenAI, and applied ML
Junior Software Development Engineer specializing in AI/ML and distributed systems
Senior Machine Learning Engineer specializing in on-device AI and large-scale deep learning systems
Senior AI/ML Engineering Manager specializing in NLP, computer vision, and MLOps
Senior AI Engineer specializing in LLM platforms and scientific workflow automation
Senior Software Engineer specializing in AI, full-stack systems, and enterprise SaaS
Director-level Data & AI Engineering Leader specializing in cloud-native analytics and GenAI
Gayatri Puwar Mahendroo
Director-level Product Leader specializing in AI, platforms, and B2B SaaS
“Senior product leader with 15+ years spanning FAANG-scale platforms and early-stage startups, from Skype’s bot framework at 300M MAU to AI-native enterprise products in fintech, banking, and data center operations. Particularly strong in human-centered AI, trust and transparency UX, and turning ambiguous 0-1 opportunities into shipped MVPs that win pilots, awards, and business traction—including a GenAI observability platform that earned a Google Accelerator award and later led to acquisition.”
Gowtham Sai Reddy Maddireddy
Mid Software Engineer specializing in AI platforms and backend systems
“Built and shipped AI-powered enterprise search and workflow automation features end to end across React/TypeScript, FastAPI, PostgreSQL, and OpenAI/LangChain. Demonstrates practical production experience with RAG, FAISS, monitoring, and human-in-the-loop safeguards, with reported gains of 35% faster response times and 50% higher automation efficiency.”
Josef Robey
Director-level Product & AI leader specializing in streaming media and digital platforms
“Product leader with experience at Disney, Hallmark Media, and Storytelling Tech who has led both streaming and AI-powered content products. Notably shipped VERP, a generative AI "prompt-to-publish" video platform, and brings a clear human-centered AI philosophy focused on augmentation, trust, and fast user outcomes rather than full automation.”