Ayush Joshi is a hands-on engineering leader and Director specializing in GenAI, LLMs, and secure cloud-native systems, with 6+ years of full-stack, distributed systems, and applied ML experience. He currently leads GenAI initiatives for Morgan Stanley’s Multi-Cloud Security Posture Management, applying retrieval-augmented generation and hallucination detection to automate remediation intelligence across AWS, Azure, and GCP. His background spans building ERP/SCM microservices, DevOps pipelines, and production ML platforms at Dell and Workday, and he holds a U.S. patent for a GenAI programming assistant. Technically fluent in Python, Java, C#, LangChain, PyTorch, FastAPI, Kubernetes, and GitLab CI/CD, he combines deep model work (RLHF, prompt engineering) with pragmatic, secure deployment practices. A Master’s graduate (4.0 GPA) from Arizona State University based in Atlanta, he’s particularly focused on intelligent agentic workflows and scalable ML infrastructure for enterprise security.
5 years of coding experience
6 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Arizona State University
Bachelor of Technology - BTech Computer Science and Engineering, Bachelor of Technology - BTech Computer Science and Engineering at Shiv Nadar University
Contributions:2 releases, 21 reviews, 762 commits in 1 year 11 months
pythonautomation-seleniumgooglebotyapf
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