Authors
The people behind Laxu AI — engineers, designers, and study-strategy writers. Each post is written by someone with hands-on expertise in the topic.

Laxman Shah
Founder · Laxu AI
Founder of Laxu AI, where he leads product and engineering across the iOS, Android, and web apps. San José State University graduate. Day-to-day, he ships and tests AI study tools — flashcard generators, AI notes, quiz builders, audio transcription — across thousands of student users in six languages. His writing focuses on honest comparisons between AI flashcard tools and where each one actually helps versus gets in the way.

Mahesh Panta
Corporate Strategy · NYU Stern
Corporate strategist focused on how teams plan, prioritize, and execute under constraint. Graduate of NYU Stern School of Business. His background sits at the intersection of structured decision-making and time-bounded execution — the same problem students face every semester. He writes about study planning, productivity systems, and how to structure long study sessions when there's too much material and too little time.

Prakash Gurung
Android Engineer · Bank of America
Android engineer at Bank of America, where he builds and ships large-scale mobile features used by millions of customers. San Francisco State University graduate. Years of hands-on experience evaluating mobile apps gives him a builder's perspective on what makes a study app actually usable versus what just looks polished in screenshots. He writes app comparisons and tool reviews — what each study app does well, where the rough edges are, and how the trade-offs compare.

Syifa Marthellato
Accessibility Designer · Colorado Department of Transportation
Accessibility designer at the Colorado Department of Transportation, where she works on inclusive design standards for public-facing services. Rutgers University graduate. Her work centers on making interfaces and workflows usable for people whose needs are often left out of default design choices. She writes about adapting study techniques and flashcard workflows for students with ADHD, dyslexia, and other learning differences — and where popular study tools get accessibility right versus wrong.

Sagar Shahi
Senior Principal Software Engineer · Johnson & Johnson
Senior Principal Software Engineer at Johnson & Johnson, where he leads data engineering, data science, and software development teams building generative AI products. San José State University graduate, with prior data engineering roles across Facebook contractor teams. His current work involves shipping LLM-powered systems at enterprise scale. He writes about how AI flashcard generation actually works under the hood, and where machine learning genuinely improves spaced repetition versus where simpler rule-based scheduling still wins.