Şevval Alper
Şevval is an AI researcher at AIMultiple. She has previous research experience in pseudorandom number generation using chaotic systems.
Research interests
Şevval focuses on AI coding tools, AI agents, and quantum technologies.
She is part of the AIMultiple benchmark team, conducting assessments and providing insights to help readers understand various emerging technologies and their applications.
Professional experience
She contributed to organizing and guiding participants in three “CERN International Masterclasses - hands-on particle physics” events in Türkiye, working alongside faculty to facilitate learning.
Education
Şevval holds a Bachelor's degree in Physics from Middle East Technical University.
Latest Articles from Şevval
Screenshot to Code: Lovable vs v0 vs Bolt
During my 20 years as a software developer, I led many front-end teams in developing pages based on designs that were inspired by screenshots. Designs can be transferred to code using AI tools.
E-Commerce AI Video Maker Benchmark: Veo 3 vs Sora 2
Product visualization plays a crucial role in e-commerce success, yet creating high-quality product videos remains a significant challenge. Recent advancements in AI video generation technology offer promising solutions.
Top 5 Google Colab Alternatives
Google Colaboratory is a popular platform for data scientists and machine learning scientists, but its limitations and pricing may not meet your needs. Several alternatives offer unique features and capabilities that cater to different data science needs and scenarios.
AI Agents: Operator vs Browser Use vs Project Mariner
We spent more than 40 hours testing the top 5 AI agents to see if they can help us in a business process with tool use: We also benchmarked the web search capabilities of AI agents.
AI Coding Benchmark: Best AI Coders Based on 5 Criteria
Most software engineers rely on AI coding assistants at least once a day in 2025.
OCR Benchmark: Text Extraction / Capture Accuracy
OCR accuracy is critical for many document processing tasks and SOTA multi-modal LLMs are now offering an alternative to OCR. We tested leading OCR services to identify their accuracy levels in different document types: 2025 OCR benchmark results Product names were shortened above, their full names are listed below.
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