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Vetted Linux Professionals
Pre-screened and vetted.
Executive technology leader specializing in digital transformation, payments, and AI
Mid-level Software Engineer specializing in cloud infrastructure and backend systems
Mid-Level Full-Stack Software Engineer specializing in web platforms and data-driven systems
Senior Technology Consultant specializing in cloud, data engineering, and AI solutions
Mid-level Generative AI & Machine Learning Engineer specializing in LLMs and RAG
Junior Robotics Engineer specializing in autonomous systems and robot learning
Senior Software Engineer specializing in AWS distributed systems and developer tools
Mid-level Software Engineer specializing in backend systems, billing, and real-time data pipelines
Intern Full-Stack Software Engineer specializing in distributed systems and cloud services
Mid-level AI/ML Engineer specializing in LLMs, ranking systems, and MLOps
Mid-level AI Solutions Architect & Product Leader specializing in enterprise GenAI systems
Staff Networking Solutions Engineer specializing in hyperscaler Ethernet switching and HPC
Director-level Engineering Leader specializing in SaaS platforms, cloud architecture, and SRE
Harsha Kotta
Intern Robotics Researcher specializing in state estimation, SLAM, and sensor fusion
“Robotics software engineering intern at Bell Labs who overhauled indoor mobile robot localization in a ROS 2 stack, combining EKF + particle filtering with a neural network to handle BLE multipath disturbances. Delivered a major accuracy gain (~50 cm to sub-20 cm), earned a company Innovation award, published a paper, and saw the approach adopted across the company’s robot fleet.”
Venu Dave
Junior Software Development Engineer specializing in backend data platforms and LLM applications
“Amazon internship experience building and shipping an end-to-end NL-to-SQL system: ingested/normalized metadata across 60+ internal tables, added rigorous multi-layer validation for LLM-generated SQL, and served it via a FastAPI backend for engineers—driving 90%+ faster dataset discovery and ~70% lower effort to access data. Also built an early-stage RAG-based healthcare assistant, iterating on chunking, embeddings, and retrieval to improve answer quality post-launch.”
Yifei Tang
Intern Machine Learning Engineer specializing in vision-language models and robotics
“Robotics software engineer with hands-on experience building a vision-guided grasping pipeline on a 7-DOF Franka arm, implementing gradient-based IK with null-space optimization and RRT* motion planning in ROS1. Strong in sim-to-real deployment and real-world debugging—addressed frame misalignment via hand-eye calibration and centralized TF configuration, and reduced replanning/jitter by tuning a weighted pose filter using rosbag replay and variance/grasp-time metrics. Also built an ESP32-based mobile robot architecture combining embedded decision-tree control with WiFi/web high-level commands.”