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Vetted Linux Professionals
Pre-screened and vetted.
Swarnabha Roy
Mid-level Robotics & Computer Vision Engineer specializing in autonomous systems and edge AI
“Robotics/perception researcher (MVOS Lab, South Dakota State University) who built an end-to-end multimodal RGB-D + LiDAR pipeline for autonomous greenhouse harvesting and 3D plant phenotyping. Demonstrated strong production ownership by diagnosing motion blur with ROS-bag + OpenCV metrics and shipping an edge-deployed, scan-quality-aware workflow that boosted barcode read rate to 98% and supported ~70% autonomous pepper detection/harvesting accuracy.”
Raghu Prabhudeva
Staff Embedded/Automotive Systems Architect specializing in IVI, ADAS, and digital cockpit platforms
“Robotics-adjacent software engineer with hands-on ROS 2 experience building and integrating sensor nodes (IMU, GNSS, wheel encoder) and working with distributed pub/sub concepts via ROS IDL and DDS. Also has Gazebo exposure through Udacity coursework and uses Docker as a core development/deployment tool, with related experience in automotive camera-based solutions.”
Daniel Luzzatto
Junior Machine Learning Engineer specializing in LLMs, computer vision, and robotics
“Built and deployed an agentic, multimodal LLM system that automates privacy redaction pipelines (audio/video/tabular) using LangChain orchestration and a closed-loop self-correction design. Personally implemented and performance-optimized core CV tooling (face blurring with tracking/Kalman filter) achieving >100 FPS on CPU, and validated reliability with golden-dataset benchmarking across 100+ privacy intents and measurable redaction metrics.”
Ethan Hu
Junior Software Engineer specializing in full-stack and embedded systems
“Backend/full-stack engineer on Qualtrics' Online Samples team working on audience sampling systems and APIs used by researchers. They have hands-on ownership of TypeScript/React/Express services, emphasize multi-layer testing and production observability with Splunk/VictorOps, and have built APIs for both internal and external developers.”
Xingyu Chen
Junior Machine Learning Engineer specializing in generative AI and computer vision
“Built production AI features for image editing and object removal, including an agent that guides users to the right pipeline, validates inputs, refines prompts, and routes requests to GPU-backed generation services. Brings hands-on experience across multimodal control, generative model optimization, and post-launch iteration driven by failure analysis and user feedback.”
Intern Machine Learning/Robotics Engineer specializing in computer vision and 3D simulation
Mid-level Python Developer specializing in cloud data engineering and ETL/real-time pipelines
Intern Software Engineer specializing in systems, containers, and cloud infrastructure
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and recommendation systems
Mid-level HPC AI & Software Engineer specializing in computer vision and ML for scientific data
Intern Product & Analytics professional specializing in SaaS, LegalTech, and Healthcare IT
Junior Software Engineer specializing in backend systems and AI platforms
Mid-level AI Engineer specializing in computer vision and RAG systems
Junior Software Engineer specializing in cloud observability and distributed systems
Mid-level Software Engineer specializing in ML deployment and full-stack development
Junior Machine Learning Engineer specializing in LLMs and retrieval-augmented generation
Junior Software Engineer specializing in scalable systems and cloud infrastructure
Junior Technical Product Specialist specializing in AR/VR and AI wearables
Junior Robotics & AI Engineer specializing in autonomous navigation and embodied learning
Junior Software Engineer specializing in DevOps and full-stack web development