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Experience

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Roles spanning applied ML engineering work and editorial review for technical publishers across the open-source machine learning ecosystem.

Technical Reviewer

O’Reilly Media July 2026 – present

O’Reilly is a publisher and learning platform known for its technical books, video courses, and live training across software engineering, AI, and data science. Its catalog is widely used by practitioners to learn emerging tools and frameworks directly from domain experts.

As a Technical Reviewer, I evaluate manuscripts for upcoming ML and AI titles, checking that code examples run as written and that architectural explanations hold up against how these systems actually behave in practice.

Responsibilities

  • Reviewed code implementations and architecture patterns across upcoming ML/AI manuscripts for technical accuracy.
  • Delivered pre-publication feedback to author teams, sharpening technical depth and code clarity ahead of release.

Technical Reviewer

Manning Publications Co. March 2026 – April 2026

Manning Publications is an independent technical publisher specializing in books and learning resources for artificial intelligence, data science, cloud computing, and modern software development. Its catalog includes widely adopted titles across the In Action, Grokking, and LiveProjects series, written by practitioners for professional developers.

As a Technical Reviewer, I reviewed manuscripts during the publication process to help ensure technical accuracy, implementation correctness, and clarity before release.

Responsibilities

  • Reviewed manuscript chapters on LLM fine-tuning, focusing on clarity and depth of content.
  • Evaluated PEFT and Transformers-based fine-tuning examples for correctness and reproducibility.
  • Identified gaps in API examples and experiment tracking to improve practical usability.

AI Research Intern

GreenPepper AI February 2024 – December 2024

GreenPepper is an AI consulting and technology company that helps enterprises adopt generative AI through capability-building programs. The company works with organizations to integrate AI into business processes through training and enterprise transformation initiatives.

As an AI Research Intern, I supported experimentation and research synthesis behind real-world AI adoption efforts.

Responsibilities

  • Analyzed 30+ peer-reviewed papers on AI in healthcare (medical imaging, clinical NLP), synthesizing findings into executive briefings that informed product strategy for 5+ enterprise pitch opportunities.
  • Designed a reusable GenAI technical framework covering RAG, prompt engineering, and AI security — reducing pitch preparation time by 30% and establishing an evaluation methodology adopted across client engagements.
  • Delivered technical due diligence on AI solutions for healthcare applications, bridging research and commercial viability.