Baran Shajari
Human–AI Research & UX/UI Design
Toronto, Canada
I research and design human-centered AI systems that respond to real human needs and business goals.
My work sits between artificial intelligence, UX research and design. I study how people understand, trust, and collaborate with intelligent systems, then translate those insights into clearer interfaces, prototypes, and digital experiences.
My background in Information Technology and Computer Science allows me to approach design from both a technical and human perspective. I use qualitative and quantitative research methods to understand user behaviour, evaluate interactions, and communicate findings clearly.
Alongside research, I design websites, interface systems, and interactive prototypes for academic, technical, and client-facing projects. My goal is to design technology that feels understandable, responsible, and genuinely useful to the people who use it.
WAYS I WORK
UX Research
Human–AI Interaction
Interaction Design
Prototyping
Information Architecture
Controlled Experiments
Experimental Design
User Study
Usability Testing
Quantitative/Qualitative research
behavioural research
UI Design
Accessibility
CURRENTLY EXPLORING
Trustworthy AI
Human–Robot Interaction
Explainable AI
Future Interfaces
Research-driven Products
TOOLS
Figma
Framer
Lucidchart
Webflow
Python
HTML/JavaScript
FigJam
Adobe XD
LANGUAGES
English
Farsi
BEYOND THE WORK
🎹 Piano
💃 Dance
🏊 Swimming
✈️ Travel
🎨 Painting
Academic foundation
My Bachelor of Commerce in Information Technology and Master of Science in Computer Science has shaped how I approach technology from both technical and human perspectives.
This interdisciplinary foundation shaped the way I approach digital systems. My goal is to design intelligent systems that are understandable, trustworthy and useful to the people who rely on them.
Human-centred research
My previous research focused on Human–AI and Human–Robot Interaction. I study how design decisions such as urgency, feedback, embodiment, and system behaviour influence trust, confidence, usability, and engagement.
I combine controlled studies, interviews, observation, questionnaires, prototyping, and behavioural analysis to understand not only whether a system performs well, but also how it makes people feel and behave.
From research to real experiences
I have learned that strong design is not only what a system can do, but about how people understand it, trust it, and feel while using it. My work combines research, prototyping, and evaluation to uncover those experiences and turn them into clearer, more responsible design decisions.