.png){kind=logo}
Vetted Linux Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in full-stack development, cloud, and data infrastructure
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.”
Osvaldo Calles
Senior Software Engineer specializing in developer tools, cloud automation, and generative AI
“Built and deployed a production chatbot on osvaldocalles.com and iterated through real-world LLM engineering issues: model quota/cost tradeoffs (migrating to Nova Pro), RAG accuracy via semantic chunking, AWS IAM/guardrail/security pitfalls, and Lambda/API Gateway streaming constraints (prefers JS for streaming layer). Experienced with agent orchestration using Strands SDK (AWS-focused) and LangGraph (Vercel/container deployments), plus evaluation pipelines using LLM-as-evaluator, dashboards, and staged model rollouts.”
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.”
Yernar Smagulov
Mid-level Software Engineer specializing in autonomous vehicle operations and test automation
“Hands-on Python/IoT engineer with experience spanning research labs and autonomous vehicles (Zoox), focused on making data/decision-support systems reliable in production. Has deployed and Dockerized Python tools with pinned dependencies, built sensor-based on-prem data collection systems (aquafeed evaluation), and troubleshot telemetry issues down to a failing switch port using logs, multimeter checks, and network diagnostics.”
Varun Raghavendra
Mid-level Software Engineer specializing in cloud, distributed systems, and frontend platforms
“Robotics software engineer with hands-on ROS2 experience building an audio conversion node and integrating Whisper LiveKit for streaming speech-to-text in a simulated hostile (outer space) robot environment. Also worked on a 2023 LiDAR + ML vision obstacle-detection project for a hospital-nurse-assistant robot, and has strong large-scale CI/CD deployment experience from AWS (2022–2024) across alpha/pre-prod/prod stages.”
Seongjae Ahn
Intern/Junior Robotics & Controls Engineer specializing in simulation, teleoperation, and diffusion policies
“Robotics software engineer focused on simulation-to-teleoperation pipelines in NVIDIA Isaac Lab/Isaac Sim, including custom Dynamixel motor control integrated with USD/physics for dataset collection. Has hands-on ROS2 Humble + MoveIt2 integration for UR + Robotiq in Omniverse and builds Docker/CI workflows for GPU-enabled robotics stacks; also brings MPC coursework and multi-robot ocean drone comms experience (XBee/I2C).”