Vetted Troubleshooting Professionals

“Unity/Meta Quest programmer with 2 years of experience shipping two award-winning VR games (Spatial Ops and Twenty Guys) now live on the Meta Store with 4.8+ ratings. Contributed major gameplay/tech systems including co-location, an in-game map editor, and active ragdoll/physics interactions, and has also built Unity apps largely solo spanning rendering, shaders, serialization, VFX, and async/state management.”

“AWS Cloud DevOps Engineer focused on production Linux environments, building secure CI/CD pipelines (Jenkins/GitHub) to deploy Dockerized services to AWS ECS and automating infrastructure with Terraform/CloudFormation. Strong in operational troubleshooting and scaling (CloudWatch-driven performance remediation, Auto Scaling/ELB, multi-AZ HA patterns), but explicitly does not have IBM Power/AIX or PowerHA/HACMP experience.”

“AWS-focused Python backend/data engineer who builds production analytics APIs and ETL pipelines using API Gateway, Lambda, Step Functions, ECS, Glue, S3, and RDS. Strong in operational reliability and performance tuning (including SQL indexing/partitioning) and has modernized legacy SAS statistical processing into validated Python services with phased rollouts and stakeholder sign-off.”

“Robotics software engineer with hands-on experience building an AGV for warehouse autonomy at Kick Robotics, working across SLAM, waypoint navigation, computer vision, and ROS2/RViz simulation. Demonstrated strong on-site troubleshooting by diagnosing a real-world mapping stall via log analysis (coordinate reset bug) and deploying a fix. Also has industrial automation experience coordinating SCARA robots via EtherNet/IP and multi-robot/swarm simulations using MQTT pub-sub.”

“Marketing creative and campaign operator who builds polished, customer-centric microsites that centralize catalogs, brochures, photography, and video assets for new launches. Uses Figma to document and communicate project lifecycles and process improvements, and pairs creative production with customer surveys/interviews to improve accessibility for less tech-savvy users.”

“Robotics software engineer focused on backend/integration for indoor autonomous mobile robots, with hands-on ROS 2 experience integrating Nav2/AMCL/TF2 and LiDAR/camera pipelines. Emphasizes production readiness—robust failure recovery, QoS-tuned distributed communication, and strong observability (logging/health checks)—validated through Gazebo simulation, sensor-data replay debugging, and Docker-based CI/CD deployment.”

“Backend/AI engineer who has built and operated production Node.js/Express services on AWS (Postgres/Redis) and has hands-on experience shipping an AI-powered support agent using RAG (Pinecone + LLM) with grounding checks and evaluation for hallucination rate. Demonstrates strong production reliability/performance debugging, including reducing peak latency from ~2s back to sub-300ms through query and caching optimizations, plus designing agent workflows with retries and human-in-the-loop escalation.”

“Robotics software engineer focused on production-grade autonomous mobile robot (AMR) navigation in warehouse-style environments, with deep hands-on ROS2/ROS Noetic experience across SLAM, AMCL/NDT LiDAR localization, and Nav2 integration. Strong in real-time debugging and performance tuning using rosbag-driven regression workflows, plus containerized deployment (Docker/Compose) and distributed robot/edge-device communication via MQTT/REST.”