Vetted Bash Professionals

“Robotics Support Engineer at HAI Robotics supporting a 385-robot warehouse fleet at a Shein client site. Built a production automation and reporting workflow to diagnose and resolve abnormal shelf locations, cutting incidents from ~250/day to ~25/day while providing actionable root-cause data to client/ops/maintenance. Hands-on ROS 2 (Humble) debugging across Nav2/localization/TF and sensor integration issues including QoS and firmware coordination.”

“Frontend engineer focused on scalable architecture and long-term maintainability, emphasizing modular component design in React + TypeScript. Has experience building reusable component libraries (including Storybook and shared repos) and collaborating with design/product to refine UX workflows, reducing development time over successive iterations.”

“QA automation engineer in a banking domain who owned an end-to-end automation suite for critical money movement flows (onboarding, funding, transfers). Demonstrated impact through edge-case coverage (min balance, boundary amounts, repeated actions, timeouts), CI/CD gating with smoke vs regression suites, and catching a high-impact timing defect where UI success masked incorrect balance updates.”

“Solutions Associate / technical support professional with experience assessing and fixing multi-script JavaScript issues, providing timelines, and managing scope changes with customers. Has supported customers by diagnosing recurring campaign issues, running technical demos with stakeholder feedback loops, and enabling self-service so customers can resolve problems independently.”

“Built and deployed a production LLM-powered university support chatbot on Azure using a RAG pipeline, focusing on reducing hallucinations, improving latency, and handling ambiguous queries via confidence checks and clarification prompts. Also has hands-on orchestration experience (Airflow/Azure Data Factory), including hardening a demand-forecasting ingestion workflow with sensors, retries, and automated alerts, and uses a metrics-driven testing/monitoring approach for reliable AI agents.”

“Customer-facing platform support professional focused on application security and reliability for SaaS integrations, with hands-on experience troubleshooting API auth failures and data update issues using Linux/app/DB logs, SQL, and monitoring. Demonstrates strong security fundamentals (least privilege, TLS/access controls, credential rotation) and can design secure AWS agent integrations while also supporting Azure containerized REST API deployments via CI/CD.”

“AI/ML engineer who led Impacter AI’s production deployment of a specialized outreach LLM (CharmedLLM) fine-tuned on GPT-4.1, cutting API costs ~40% while boosting outreach effectiveness ~60%. Built the supporting MLOps and data infrastructure (MLflow, Kubernetes, PySpark, Kafka) and has agentic AI experience from University of Dayton, using LangChain + RAG and vector search (Pinecone) to improve reliability and reduce hallucinations.”

“Senior software engineer (backend/infra) with hands-on Unity gameplay feature work, including an editor-time page-generation and multilingual pipeline that renders gamebook pages as textures for instant 3D page flips. Combines immersive UX techniques (mask textures + custom shader hover feedback) with strong multiplayer/networking and scalable infrastructure thinking (latency, prediction, security, autoscaling).”

“GenAI/LLM engineer with production experience at Allstate building an end-to-end document intelligence workflow for insurance operations—automating document intake, classification, and risk signal extraction. Emphasizes high-reliability design for regulated/high-stakes outputs using schema enforcement, confidence thresholds, validation rules, and human-in-the-loop routing, with metric-driven offline evaluation and production monitoring.”

“Robotics/embedded platform engineer who led compute provisioning and ROS2 platform development for a smart electrical panel, building a full ROS2 stack that bridges mobile app requests (via AWS IoT/MQTT) to signal-level CAN commands and returns telemetry/logs to the cloud. Demonstrated strong full-stack debugging by resolving flaky CAN traffic down to a custom PCB transceiver standby-pin grounding issue, and improved real-time behavior by refactoring middleware into C++ with timer-scheduled publishes to meet firmware watchdog expectations.”

“UNIX operations-focused candidate with hands-on AIX/Solaris troubleshooting and Bash automation experience, including resolving a production connectivity outage caused by a host table IP misconfiguration. Has supported a re-platform migration of a home-grown application by working directly with developers and running parallel testing prior to cutover; no direct IBM Power (VIOS/HMC/LPAR) or NIM/PowerHA experience.”

“Backend/Node.js-focused engineer who improved a widely used shared config/logging utility library by fixing a real-world async race condition (single disk read under concurrency) and adding stronger validation/testing, resulting in more deterministic services and faster startup/build/CI times. Also builds internal platform automation spanning Python/Go/TypeScript with strong documentation practices and security-conscious customer onboarding (e.g., sensitive Kubernetes clusters, HashiCorp Vault access issues).”

“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.”