.png){kind=logo}
Vetted Bash Professionals
Pre-screened and vetted.
Senior QA Engineer specializing in AAA game quality engineering and Unreal Engine validation
Mid-Level Software Engineer specializing in FinTech, treasury systems, and real-time data pipelines
Senior Solutions Architect specializing in cloud infrastructure, AI/LLM security, and data platforms
Technology Executive specializing in AI-native engineering and cybersecurity governance
Junior AI/ML Engineer specializing in NLP, LLM evaluation, and Azure MLOps
Mid-level AI/ML Engineer specializing in LLM evaluation, RAG, and GPU-accelerated inference
Senior Software Engineer specializing in Python, AI/ML, and AWS cloud-native systems
Mid-level AI/ML Engineer specializing in multimodal and generative AI at scale
Senior Data Analytics & Applied ML Engineer specializing in LLMs, RAG, and MLOps
Mid-level Full-Stack Python Developer specializing in cloud-native FinTech and GenAI
Mid-level Full-Stack Developer specializing in cloud-native apps, AI/ML, and microservices
Senior Cloud DevOps Engineer specializing in Azure/AWS and hybrid cloud migrations
Junior Robotics Engineer specializing in ROS2 autonomy and embedded systems
Junior Robotics Software Engineer specializing in ROS 2 perception, planning, and control
Mid-level Python Backend Developer specializing in FinTech and ML-driven fraud detection
Mid-level Full-Stack Engineer specializing in Python microservices and cloud automation
Junior AI/ML Engineer specializing in agentic AI and cloud optimization
Peeyush Dyavarashetty
Intern AI/ML Engineer specializing in GenAI, LLMs, and agentic RAG systems
“AI/LLM practitioner who built a GPT-2-like language model from scratch at the University of Maryland using PyTorch and multi-GPU distributed training, with experiment tracking in Weights & Biases. As an AI Operations intern at ScaleUp360, delivered multiple production-style AI agent automations (Gmail classification and Fireflies-to-Claude workflows that extract and assign CEO tasks) and set up measurable evaluation using test cases and classification metrics.”