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Vetted Operating Systems Professionals
Pre-screened and vetted.
Junior Software Development Engineer specializing in AWS cloud and distributed systems
Entry-level Data & Quant Analytics professional specializing in finance and machine learning
Mid Software Engineer specializing in distributed systems and AI platforms
Intern Machine Learning Engineer specializing in systems, kernels, and GPU computing
Mid-level Software Engineer specializing in distributed systems and big data
Executive enterprise software leader specializing in cybersecurity and identity management
Executive growth and operations leader specializing in Enterprise SaaS and AI
Intern Embedded/Systems Software Engineer specializing in firmware and RTOS
Mid-Level Software Development Engineer specializing in AWS serverless and ML/GenAI
Akshat Shah
Entry-level Software Engineer specializing in full-stack and AI systems
“Frontend-leaning full-stack engineer who described owning an artist search and detail experience across UI, backend integrations, and data modeling. They show practical strength in scalable React architecture, TypeScript safety, and performance tuning, with a product-minded approach to shipping 0→1 features quickly and iterating after launch.”
Rashi Agrawal
Mid-Level Full-Stack Software Engineer specializing in distributed systems and cloud-native microservices
“Backend engineer (4 years) who built an end-to-end Python backend for a patent-pending in-car massager/heater system, including GraphQL data modeling and Bluetooth integration with an ESP32 microcontroller (reverse engineered a niche protocol). Also has strong platform experience: on-prem Kubernetes/CI-CD (Jenkins/GitLab, exploring ArgoCD GitOps), Terraform-based infra workflows, a RabbitMQ messaging library used across microservices, and an on-prem migration of ~30 critical applications with rollback/parallel-run strategy.”
Rana Taki
Junior Mechanical Engineering & Software Developer specializing in aviation autonomy and retrieval systems
“Robotics/embedded builder who trained an aviation-specific LLM and deployed it offline on an NVIDIA Jetson for an in-flight voice assistant, solving performance and cabling constraints with NVMe storage and Bluetooth. Also has hands-on Raspberry Pi/Arduino robot builds (including a cigarette-butt picking prototype with hydraulic actuation) plus Docker-based FEA work using FEniCS/Gmsh and strong CI/CD + automated testing practices.”
Junior Robotics Researcher specializing in robot learning and manipulation
Junior Software Engineer specializing in AI, data systems, and cloud applications
Software Engineering Intern specializing in backend APIs, Kafka data pipelines, and cloud systems
Mid-level Software Engineer specializing in backend systems and AR/VR sensor calibration
Senior Technology Consultant specializing in cloud, data engineering, and AI solutions
Junior Robotics Engineer specializing in autonomous systems and robot learning