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Vetted Linux Professionals
Pre-screened and vetted.
Senior AI/ML Software Engineer specializing in LLMs, NLP, and scalable ML platforms
Mid-Level Software Engineer specializing in backend, cloud, and CI/CD automation
Senior AI/ML Engineer & Data Scientist specializing in NLP, entity resolution, and knowledge graphs
Mid-level Technical Solutions Architect & Technical Operations Manager specializing in AI automation
Intern Hardware/Robotics Engineer specializing in autonomous systems and test automation
Intern Robotics Software Engineer specializing in perception and ML systems
Mid-level Machine Learning Engineer specializing in LLM personalization and scalable MLOps
Junior Software Engineer specializing in full-stack web and data platforms
Staff Software Engineer specializing in streaming platforms and AI-driven experiences
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps
Intern/Junior Robotics & Controls Engineer specializing in autonomy and embedded systems
Mid-level Software Engineer specializing in real-time backend systems and FinTech payments
Mid-level Backend/Distributed Systems Engineer specializing in AWS serverless architectures
Intern Machine Learning Engineer specializing in systems, kernels, and GPU computing
Intern Machine Learning Engineer specializing in LLM systems and recommendation/search
Anirudha Deo
Senior Engineering Manager specializing in cloud-native e-commerce and payments platforms
“Senior Engineering Manager with large-scale platform/API ownership at eBay, leading a globally distributed team and redesigning Order public APIs used by external developer ecosystems at ~800M requests/day, delivering 84% performance gains and reducing compute by ~300 VMs. Also led Google CRES ETL migration work on GCP, creating reusable Python libraries to standardize configuration across 10 integrations and improve developer productivity.”
Cedric Hollande
Junior Robotics Engineer specializing in autonomous systems and controls
“Robotics software engineer/research lead building an off-road mobile base, owning system integration across mechanical/electrical/embedded and developing controls + motion planning deployed from simulation to hardware with ROS 2/ROS 2 Control. Has deep ROS 2 experience (NAV2, MoveIt) and built a GridMap-based off-road elevation-to-traversability mapping stack using nonlinear optimization; also tuned real robots using Vicon and developed a quadcopter geometric/PID controller.”
Christopher Chu
Senior Backend Engineer specializing in distributed systems and cloud microservices
“Backend/data engineer with experience at Nike building high-volume order orchestration and validation APIs using FastAPI microservices on AWS EKS with Kafka, Redis, and Postgres. Strong in production reliability (timeouts/retries/idempotency), GitOps (Argo CD) + Terraform deployments, and data pipelines (AWS Glue/S3), with hands-on incident ownership and legacy modernization into API-driven services.”
Jeffery Faneuff
Executive Engineering Leader specializing in AI-driven SaaS and IoT platforms
“Engineering leader who built and delivered an IoT smart-spaces platform for the self-storage and smart-living domains, translating customer requirements into architecture, capability maps, and a multi-milestone roadmap. Personally stood up missing AI/ML capabilities (including churn prediction) using Databricks (Delta Lake/MLflow), enabling follow-on features like energy optimization and security/anomaly detection. Scaled an org from 20 to 80+ with disciplined Agile planning (Jira Advanced Roadmaps/Confluence) and strong executive/customer-facing leadership during high-stakes customer commitments.”
Shiva Arcot
Director of Security & Data Platform Engineering specializing in AI-driven cloud security
“Player-coach engineering leader focused on scalable data security scanning and risk detection in hybrid cloud, owning architecture and core implementation of an incremental/parallel DSPM scanning engine. Shipped production improvements including 60% lower scan latency and 30% fewer false positives, with strong emphasis on correctness under concurrency, multi-tenant observability (SLOs/burn-rate alerts), and disciplined rollout practices (feature flags, shadow scans, canaries).”