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Read ArticleEvan Selway
Evan Selway covers AI, online learning, and career-focused technology for Aiifi. His work focuses on how people actually evaluate, adopt, and use AI systems and professional training in real business settings.
Editorial note: Evan Selway is the editorial byline for Aiifi's AI and course coverage. The professional background described on this page reflects real experience, presented under a consistent editorial identity.
What Evan Covers
Evan writes about AI, online courses, certifications, and the practical ways AI is changing work. His coverage is aimed at professionals making purchase, learning, and career decisions, not hobbyists looking for novelty.
That includes course reviews, comparison pages, buying guides, and workflow analysis for AI and productivity software. The goal is simple: help readers understand what is worth their time, what is worth their money, and what should be skipped.
Background and Experience
Evan has 2+ years of professional work in AI evaluation and model-quality workflows across multiple annotation and review environments. His experience includes factuality verification, comparative analysis of competing model outputs, multi-turn dialogue assessment, multimodal evaluation, prompt development, and groundedness review.
He has worked on projects involving high-stakes accuracy checks, including YMYL-adjacent content, source validation, hallucination detection, and structured quality assessment across text, voice, image, and assistant-style responses.
Before that, Evan spent 10+ years in operational and client-facing roles in financial services, where process quality, communication quality, and workflow design had direct business impact. That background shapes his writing: practical, comparative, and focused on real-world use rather than marketing language.
Research and Analytical Work
Evan has co-authored 1 peer-reviewed research paper on AI applications in financial services, published in Machine Learning with Applications. His contribution was on the domain and operational side: data preparation, problem framing, classification logic, and making the output useful in a real business setting.
That mix of operational context and analytical work is central to Aiifi's editorial approach. The question is not whether a product or course sounds impressive. The question is whether it performs, whether the claim holds up, and whether it makes sense for the person about to buy it.
How Evan Reviews Products and Courses
Evan's reviews are built around decision quality. That means checking provider pages, comparing pricing and product structure, evaluating who a product is best for, and identifying where a cheaper or narrower alternative makes more sense.
His evaluation background includes research-heavy factuality projects, voice and mobile assistant assessments, groundedness verification, multimodal evaluation, and prompt-development work designed to expose model failures before they reach users.
Aiifi's review content is designed to be useful at the moment of decision. Where relevant, that includes first-hand evaluation logic, source checking, side-by-side comparisons, and clear guidance on who should not buy. Read Aiifi's editorial policy and review methodology.
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