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Vetted PyTorch Professionals
Pre-screened and vetted.
Senior Python Developer specializing in AI/ML and cloud-native microservices
Staff Data Scientist / AI-ML Engineer specializing in fraud detection, NLP, and recommendations
Senior Full-Stack Engineer specializing in AI, Web3, and scalable web platforms
Staff Full-Stack Engineer specializing in data engineering and real-time event platforms
Senior Full-Stack Engineer specializing in cloud, real-time data, and web platforms
Mid-level Software Engineer specializing in ML-driven software testing and developer tools
Senior Software Engineer specializing in cloud platforms, healthcare imaging, and scalable APIs
Senior Software Engineer specializing in AI agents and cloud platforms
Senior Full-Stack Software Engineer specializing in Telehealth and FinTech
Senior Software Engineer specializing in FinTech payments and scalable platforms
Mid-level Software Engineer specializing in Python, distributed systems, and AI backend services
Senior Machine Learning Engineer specializing in LLM inference and GPU infrastructure
Senior Software Engineer specializing in cloud-native microservices and observability
Mid-level Software Engineer specializing in systems, CUDA, and robotics/AI
Mid-Level Software Development Engineer specializing in AWS serverless and ML/GenAI
Mid-level Machine Learning Engineer specializing in generative AI, NLP, and MLOps
Mid-level AI/ML Engineer specializing in LLM training, RAG, and low-latency inference
Senior Machine Learning Engineer specializing in GenAI, NLP, and recommendation systems
Sumer Joshi
Senior Backend Software Engineer specializing in healthcare platforms and AI/ML tooling
“Built a chatbot for a learning management system during a Deep Atlas bootcamp by mapping an end-to-end RAG architecture (document ingestion, Qdrant-based retrieval scoring, and LLM response synthesis). Previously at Rally Health/UnitedHealthcare, diagnosed load-related memory spikes with JMeter and improved stability by migrating caching from Guava to Redis, and also supported adoption through UI A/B testing in a technical marketing engineer rotation.”
Yuan-Hsuan Wen
Intern Software Engineer specializing in AI agents, RAG pipelines, and semiconductor systems
“Built a web-based interface that connects an internal bug system to an LLM for initial debugging and issue classification, aiming to boost QA and software engineer efficiency while balancing latency and accuracy. Worked as a one-person project and managed constraints like limited hardware and difficulty extracting team debugging context, relying on manager communication and rapid modeling to validate direction.”