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Vetted OpenCV Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in cloud microservices and AI search
Mid-Level Full-Stack Software Engineer specializing in web and mobile applications
Mid-level AI/ML Engineer specializing in LLM-powered RAG systems and MLOps
Mid-level Data Scientist specializing in GenAI, MLOps, and computer vision for robotics
Mid-level Data Scientist specializing in computer vision and behavioral analytics
Junior AI/ML Engineer specializing in LLMs, RAG, and applied NLP
Mid-level Software Engineer specializing in IoT, robotics, and secure edge-to-cloud systems
Mid-level Machine Learning Engineer specializing in MLOps, NLP, and Computer Vision
Junior AI/LLM Engineer specializing in voice agents, RAG, and robotics systems
Entry-Level Software Developer specializing in backend systems and robotics middleware
Mid-level Data Scientist specializing in ML, NLP, and Generative AI
Mid-level Full-Stack Developer specializing in Java/Spring Boot, React, and AI/ML APIs
Junior Software Engineer specializing in computer vision and LLM-powered systems
Mid-level Database Developer specializing in SQL, ETL, and cloud data platforms
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP
Intern Software Engineer specializing in cloud infrastructure, DevOps, and AI-enabled systems
Senior Data Scientist / ML Engineer specializing in NLP, speech AI, and computer vision
Intern Full-Stack Software Engineer specializing in Node.js, AWS, and scalable backend systems
Entry-Level Full-Stack Engineer specializing in backend APIs and cloud architectures
Jeevan Kumar
Mid-level Full-Stack AI Engineer specializing in LLM systems and RAG
“Built and shipped a production "Campaign AI" multi-agent system (LangGraph) that personalizes B2B outbound emails at scale using Apollo.io prospect data, clustering-based segmentation, and 21 persona variants. Notably uncovered that high click rates were largely email security scanners and created a validated bot-detection/scoring pipeline (timestamps/IP/user-agent/click patterns), bringing reported engagement down from ~40% to a trusted 5–8% that aligned with real conversions.”
Gene Ruan
Junior Computer Engineer specializing in machine learning and computer vision
“Software engineer with hands-on hardware/software crossover work: led an EMG circuit project using PSpice simulation and MATLAB-based data processing. Also contributed to an agriculture research computer-vision effort (hens/eggs tracking), building a PyTorch inference program and boosting model accuracy by ~10–20%, plus limited ROS 2 Humble exposure on an autonomous EV model with LiDAR/camera detection.”
Reza Anvari
Junior Robotics Software Developer specializing in embedded systems and ROS2
“Robotics engineer who built an educational/research robotic arm end-to-end, including IK/FK math, simulation-based validation, and ROS2 Humble integration with multiple teleoperation inputs (DualSense and Leap Motion). Also optimized a resource-constrained ESP32-S3 wireless maze robot to stream real-time video and sensor data over WiFi using TCP/HTTP with RTOS-based concurrency and binary struct packing.”