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Vetted Hugging Face Professionals
Pre-screened and vetted.
Senior Data Scientist specializing in GenAI, LLM systems, and production ML
Intern Software Engineer specializing in cloud data platforms and full-stack systems
Junior AI/ML Engineer specializing in LLMs, RAG, and multimodal agents
Mid-level Full-Stack Developer specializing in Python, React, and cloud-native AI microservices
Mid-level GenAI & Analytics Engineer specializing in LLM and cloud cost/finance analytics
Senior Full-Stack Python Engineer specializing in cloud microservices and MLOps
Mid-level AI/ML Engineer specializing in Generative AI and RAG systems
Junior AI Engineer specializing in computer vision, LLM infrastructure, and generative media pipelines
Staff Software Engineer/Manager specializing in Generative AI and enterprise platforms
Senior Software Engineer specializing in cloud-native backend, ETL, and AI/ML on AWS
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and document intelligence
Junior Software Engineer specializing in LLMs, RAG, and Knowledge Graphs
Mid-level AI/ML Engineer specializing in NLP, MLOps, and financial risk & fraud analytics
Senior Python Backend Engineer specializing in Django, APIs, and AI automation
Senior Software Engineer specializing in Healthcare IT platforms
Mid-level AI/ML Product & Solutions Specialist specializing in GenAI and MLOps
Mid-Level Software Engineer specializing in AI systems and full-stack development
Mid-level Machine Learning Engineer specializing in LLMs, multimodal AI, and backend systems
Principal Data Scientist specializing in LLMs, RAG, and enterprise AI products
Shravya Shashidhar
Intern Software Engineer specializing in LLM agents and full-stack development
“Embedded C++ engineer with Bosch automotive infotainment experience, owning real-time audio middleware modules with strict latency/memory constraints. Strong in profiling/optimizing deterministic behavior, debugging hardware-specific intermittent issues, and building automated test + CI pipelines; currently ramping up on ROS2 concepts (DDS, nodes/topics/services) to transition toward robotics.”
Kartikeya Anand
Mid-level Machine Learning Engineer specializing in NLP, LLMs, and multimodal modeling
“Built and productionized a telecom-focused RAG assistant by LoRA fine-tuning LLaMA-2 and integrating LangChain+FAISS behind a FastAPI service, with dashboards and a human feedback UI for engineers. Demonstrated measurable impact (≈40% faster document lookup, +8–10% retrieval precision) and strong MLOps rigor via Airflow orchestration, CI/CD, and monitoring for drift and failures.”