Vetted OpenCV Professionals

Shane Pearce

Screened

Mid-level IT and full-stack professional specializing in web development

Remote6y exp

“Built and owned a real-time browser-based messaging app for family users using Python, Flask, WebSockets, and Socket.io. Demonstrated hands-on debugging of client-server event issues, plus user-focused improvements like dark mode, mobile responsiveness, and separate display-name functionality driven by direct user requests.”

Galvin Mendonca

Screened

Entry-level Full-Stack Engineer specializing in AI, web, and mobile development

Hong Kong, Hong Kong1y exp

“Front-end/product engineer who fully owned and built the Rouge Dashboard, an internal enterprise SaaS platform consolidating 11 AI-powered tools for five business units at Rouge International. Particularly strong in browser-based UI architecture for AI and CRM-heavy workflows, with proven adoption from 25 of 27 non-technical stakeholders and zero role-based access breaches.”

“Robotics software learner building a self-directed recycling robot project in Isaac Sim, integrating ROS2 + Nav2 + SLAM with camera/LiDAR sensing and CV-based object detection. Has prior hands-on ROS2 work creating a YOLO detection node visualized in RViz and has built/optimized simulated line-follower and maze-solver robots in Webots, documenting progress publicly on GitHub and LinkedIn.”

Diego Hernandez

Screened

Entry-level Mechatronics Engineer specializing in robotics, automation, and ROS 2

Cali, Colombia

“Robotics software/embedded engineer who helped build an end-to-end perception sensor platform in a two-person team, owning PCB design, ROS architecture (sensor/processing/diagnostic nodes), and documentation. Experienced integrating heterogeneous sensors over CAN with Arduino and optimizing real-time performance bottlenecks (camera and high-frequency streams) using compression, grayscale pipelines, and reduced inference frequency; also containerized the system with Docker.”

“Backend engineer who built and evolved a low-latency document search platform (C++/gRPC on Kubernetes with a vector database), emphasizing resilience under concurrent load through strict deadlines, retries, idempotency, and observability. Also experienced building secure, frontend-friendly FastAPI services (Pydantic + JWT) and executing safe incremental refactors using feature flags and parallel validation.”

Richa Chanpuriya

Screened

Mid-level Backend/Agentic AI Engineer specializing in GenAI automation and RAG systems

Remote, India3y exp

“Built and shipped a production AI-driven privacy automation system that autonomously navigates data broker sites to submit opt-out/data deletion requests end-to-end, including robust CAPTCHA detection/solving (e.g., reCAPTCHA/hCaptcha/Cloudflare) via 2Captcha. Experienced in orchestrating stateful LLM agent workflows with LangGraph and hardening them for production with strict state management, retries/fallbacks, validation layers, and database-backed observability/audit logs, collaborating closely with legal/compliance stakeholders.”

Mohammad Al-Hudban

Screened

Intern AI Engineer & Data Scientist specializing in GenAI, LLMs, and RAG

Leoben, Austria0y exp

“Currently working at CBS Lab in Austria, where they implemented/replicated the "Open World Grasping" research pipeline end-to-end. Built a ROS-based RGB-D perception-to-action system using SAM 2.1 segmentation and MoveIt motion planning to generate grasp poses and execute pick-and-place/sorting with a robotic arm.”