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Vetted Hugging Face Professionals
Pre-screened and vetted.
Staff Software Engineer specializing in frontend platforms and healthcare UX
Mid-level Full-Stack & AI Backend Engineer specializing in LLM/RAG systems
Senior Software Engineer specializing in GenAI, RAG, and multi-tenant SaaS platforms
Staff Full-Stack Software Engineer specializing in AI-driven platforms
Mid-level Data Scientist specializing in GenAI, NLP, and deep learning
Junior AI Engineer specializing in LLM agents and RAG for energy operations
Mid-level Data Scientist specializing in NLP, deep learning, and big data analytics
Mid-level AI/ML Data Engineer specializing in data pipelines, MLOps, and LLM/RAG systems
Senior Full-Stack Software Engineer specializing in SaaS, cloud, and AI/LLM applications
Senior Data Analytics & Applied ML Engineer specializing in LLMs, RAG, and MLOps
Mid-level Full-Stack Python Developer specializing in cloud-native FinTech and GenAI
Junior AI/ML Engineer specializing in LLMs, RAG, and document intelligence
Senior Data/GenAI Engineer specializing in cloud-native ML, RAG, and real-time data platforms
Justin Turner
Executive Technology Leader (CTO/CIO/CISO) specializing in cloud, security, and data platforms
“CTO-level technology leader with experience building end-to-end tech strategy and roadmaps, modernizing legacy environments in healthcare (GenesisCare), and scaling engineering into large global teams (Amadeus). Built a DevOps organization at Syniverse for the Visibility Suite, implementing Kubernetes/Terraform/Chef automation that drove ~75% faster deployments, and is known for staying hands-on (including data center work) while leading strategically.”
Darsh Sharma
Mid-level Software Engineer specializing in ML systems and microservices
“Teradata Text Security intern who built a production LLM-powered planner agent that decomposes complex tasks into dependency-aware subtasks (DAG/topological graph) and executes them via a custom orchestrator with parallelism, status tracking, and error handling. Also contributed to an HR-facing internal document chatbot concept to streamline onboarding, showing cross-functional collaboration.”
Pranav Rambhia
Junior Embedded Controls Engineer specializing in robotics and reinforcement learning
“Robotics/ML engineer with hands-on experience building multimodal waypoint prediction for autonomous driving using CLIP + LidarCLIP embeddings and PyTorch, including nuScenes data pipelines and baseline modeling. Also built ROS 2 nodes for TurtleBot maze navigation with an image-classification pipeline, and has Caterpillar experience doing dSPACE HIL testing with MATLAB/Simulink plant models for engine software validation.”
Pranav Puranik
Senior AI Engineer specializing in LLMs, RAG, and multimodal NLP
“Built a production LLM/RAG assistant for insurance/health claims agents that ingests 100–200 page patient PDFs via OCR (migrated from local Tesseract to Azure Document Intelligence) and delivers grounded claim detail retrieval plus summaries with PII/PHI guardrails. Experienced orchestrating large workflows with Celery worker pipelines and AWS Step Functions (S3-triggered, Fargate-based batch inference/accuracy aggregation), and collaborates closely with non-technical SMEs (claims agents/nurses) through shadowing, iterative demos, and SME-defined evaluation.”
Sayak Banerjee
Intern Machine Learning Engineer specializing in LLMs, RAG, and search systems
“Built and shipped production improvements to a Paylocity RAG-based AI assistant, redesigning retrieval into a hybrid HNSW + keyword pipeline and using tuned RRF to fuse rankings—cutting latency by ~2s and reducing token usage by ~5000. Previously spearheaded Apache Airflow integration across ETL pipelines at Acuity Knowledge Partners, creating reusable templates and automated triggers to reduce manual job monitoring.”
Mid-Level Software Engineer specializing in backend systems and AI automation
Intern Machine Learning Engineer specializing in Generative AI and LLM systems