Abdullah Samil Guser

Machine Learning Engineer

Machine learning engineer with experience across both research and product delivery, building NLP, retrieval, ranking, and LLM systems from problem framing and experimentation to deployment, monitoring, and iteration. My work spans the full path from evaluating model ideas and designing reliable metrics to shipping production workflows, APIs, and tools that teams can use in practice.

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Blog

Applied machine learning writing on evaluation, deployment, retrieval, experimentation, and modeling.

Resume

Experience, selected work, technical depth, education, publications, and certifications.

Selected Work

RunnieResume

A full-stack AI resume tailoring product that turns one baseline resume into job-specific, editable, exportable versions through structured data, background workflows, and privacy-aware model orchestration.
  • Combines onboarding, resume parsing, LinkedIn job scraping, tailoring, editing, and export in one Next.js product workflow.
  • Uses async job queues, status polling, and background functions to handle slow AI and parsing operations without blocking the user experience.
  • Includes real product infrastructure such as Supabase auth and storage, paid credit flows, webhook handling, and PII redaction before external model calls.

How I work

Clarity first

Define the user problem, the operating constraints, and the success metrics before reaching for a model.

Evidence over hype

Compare alternatives with offline evaluation and online feedback instead of trusting novelty alone.

Ship the system

Production value comes from delivery: pipelines, APIs, observability, safeguards, and iteration after launch.

Contact

You can contact me through my email or any of the social media links above. I am open to technical conversations, consulting and new roles.

abdullahsamilguser@gmail.com