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Vetted Streamlit Professionals
Pre-screened and vetted.
Mid-level Data Scientist specializing in NLP, MLOps, and semiconductor manufacturing analytics
Mid-level AI/ML Engineer specializing in GPU-accelerated LLMs, RAG, and production MLOps
Mid-level Machine Learning Engineer specializing in MLOps and cloud-native ML systems
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and multi-agent systems
Senior AI/ML Software Engineer specializing in LLMs, NLP, and scalable ML platforms
Senior Applied ML Scientist specializing in LLMs, ads ranking, and RAG systems
Senior AI/ML Engineer & Data Scientist specializing in NLP, entity resolution, and knowledge graphs
Executive Technology Leader specializing in Cloud, Data Platforms, and AI/ML
Mid-level Machine Learning Engineer specializing in LLM personalization and scalable MLOps
Intern Software Engineer specializing in ML and data pipelines
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps
Intern Software Engineer specializing in ML and data pipelines
Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems
Senior Machine Learning Scientist specializing in LLMs, RAG, and health AI
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and scalable GPU inference
Mid-level AI/ML Engineer specializing in LLM training, RAG, and low-latency inference
Senior Machine Learning Engineer specializing in GenAI, NLP, and recommendation systems
Daksh Adhar
Junior Robotics & Reinforcement Learning Engineer specializing in dexterous manipulation
“Robotics software engineer (master’s student) who placed 3rd in the CMU VLA challenge and presented at IROS, building an LLM-powered language system (Gemini 2.5) for mobile-robot scene Q&A and language-based navigation. Hands-on ROS1/ROS2 experience including ros2_control + PILZ planning for a KUKA arm, plus simulation (Gazebo) and containerized submissions with Docker.”
Nikhil Reddy
Mid-level AI/ML Engineer specializing in GPU inference and LLM platforms
“Built and deployed an LLM-powered platform that turns models into scalable REST/gRPC APIs, focusing on keeping GPU-backed inference fast and stable during traffic spikes. Experienced with AWS orchestration (EKS/ECS/Step Functions), safe model rollouts, and production-grade monitoring/testing for reliable AI agents and workflows.”