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Vetted Deep Learning Professionals
Pre-screened and vetted.
Senior Machine Learning Engineer specializing in GenAI, NLP, and MLOps
Mid-level AI/ML Engineer specializing in LLM evaluation, RAG, and GPU-accelerated inference
Junior AI/ML Engineer specializing in NLP, LLM evaluation, and Azure MLOps
Intern Robotics Engineer specializing in autonomy, SLAM, and multi-sensor perception
Mid-level Machine Learning Engineer specializing in MLOps and scalable ML pipelines
Junior AI/ML Engineer specializing in LLMs, RAG, and document intelligence
Mid-level AI/ML Engineer specializing in NLP, transformers, and RAG systems
Junior Machine Learning Engineer specializing in FinTech and scalable backend systems
Mid-level Robotics & AI Researcher specializing in embodied AI and human-robot interaction
Senior Data/GenAI Engineer specializing in cloud-native ML, RAG, and real-time data platforms
Mid-level Software Development Engineer specializing in backend systems and ML platforms
Mid-level Software Engineer specializing in cloud infrastructure and distributed systems
Senior AI Infrastructure & Backend Engineer specializing in LLM systems
Senior AI Infrastructure Engineer specializing in LLM systems and real-time ML platforms
Mid-Level Software Development Engineer specializing in AWS edge AI and generative AI apps
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.”
Surya Singh
Mid-level AI/ML Engineer specializing in FinTech and fraud detection
“ML/backend engineer with PayPal experience building high-stakes production systems, including a GenAI internal support assistant and a real-time fraud scoring pipeline. Strong in Python/FastAPI, model-serving infrastructure, RAG architecture, and production observability, with clear readiness to transition those backend patterns into a TypeScript stack.”
Aman Garg
Mid-Level Full-Stack Software Engineer specializing in Python and React/TypeScript
“Built and shipped a map-embedding SDK (published to npm) for Walmart apps, solving key performance issues with real-time streaming (WebSockets) and Canvas rendering while prioritizing developer experience. Also applies LLM/agentic patterns in production workflows—using diagnostic agents and human-in-the-loop escalation to detect and resolve issues (e.g., voice agent loops caused by RAG API failures). Has sales-engineering experience supporting enterprise renewals, including a million-dollar contract renewal while at Siemens working with Ford stakeholders.”