suryanshsr

Suryansh Singh Rawat | AI/ML Engineer | 4+ YoE

    Location: Seattle, WA
    Remote: No
    Willing to relocate: Yes
    Résumé/CV: https://suryansh.space/suryansh_resume.pdf
    GitHub: https://github.com/xsuryanshx
    Email: [email protected]

AI/ML Engineer with 4+ YoE. Previously built agentic RAG systems (0 to 56K+ users) for Fortune 500 clients as a Principal AI Engineer at Ascentt. Before that, worked as a Data Scientist at Deloitte's AI Center of Excellence — researched and built anomaly detection ML models in the cybersecurity domain, also built NLP pipelines that cut analyst workloads by >50%. Have experience and interest in companies solving problems in the field of multi-agent orchestration for long-horizon tasks and LLM planning and reasoning. Currently a graduate student at the University of Washington — Seattle. 2x hackathon winner, research grant recipient. Seeking Summer 2026 MLE / SWE /AI Research Intern roles.

Information : { "Location" : "Seattle, WA", "Remote": "No", "Willing to relocate": "Yes", "Résumé/CV": "https://suryansh.space/suryansh_resume.pdf", "Github" : "https://github.com/xsuryanshx", "Email": "[email protected]", }

AI/ML Engineer who has shipped enterprise LLM systems to thousands of active users, built open-source agents beating GPT-4o on research benchmarks, and delivered cybersecurity NLP pipelines that cut analyst workloads by >50%. 4 years of experience across various domains in AI/ML and Data Science including - agentic RAG, scalable ETL pipelines, credit risk ML, and cybersecurity anomaly detection ML models. MSDS at University of Washington—Seattle, 2x hackathon winner, research grant winner. Seeking Summer 2026 MLE / AI Research Intern roles.