Hrithik Sanyal

About

I'm the kind of end-to-end designer who gets genuinely excited about information architecture (yes, really) and believes the best products live at the intersection of user empathy, business sense, and emerging tech possibilities. Having led 10+ projects from napkin sketch to shipped feature, I've learned that the magic happens when you're equally comfortable with GenAI-powered UX experiments and good old-fashioned usability testing. My superpower? I thrive in that sweet spot where ambiguity meets opportunity, constantly asking "why" until I understand the real problem, then figuring out "how" to solve it in ways users didn't know they needed. I'm driven by high ownership and an iterative mindset that treats every design decision as a hypothesis worth testing. Success, for me, isn't just about crafting products people can't live without but about building experiences that evolve alongside both users and technology. I create designs that make users feel understood while delivering measurable business impact, all while keeping one eye on the future of AI, design systems, and whatever comes next in UX. Currently fascinated by how AI is reshaping not just what we design, but how we design it. Let's build something people will wonder how they ever managed without.

Experience

• User Experience Designer · Project: Human City08-01-2024

  Designed an AI-powered gamified LMS, enhancing collaboration and knowledge retention through adaptive UX workflows. Led user research via surveys, form analytics, & heatmaps (Google Forms, Hotjar), increasing participation by 30%. Designed intelligent search and discovery experiences, improving wayfinding, usability, and content discoverability through refined information architecture, faceted navigation, and intent-driven search recommendations. Built ‘CityScape’, a scalable design system, cutting redundant design efforts by 20% (tracked via Figma Design Metrics) and accelerating design-to-development handoff by 30% using Jira, ensuring seamless multi-platform consistency.

• Graduate Student Instructor (GSI) · University of Michigan08-01-2023 – 05-01-2024

  SI 364 – Building Data-Driven Applications. Taught foundational web development concepts, including Python, Django, HTML, CSS, SQL, and API integrations, through structured lab sessions and office hours. Led advanced hands-on debugging sessions, guiding students through performance optimization and security best practices in Django applications. Provided one-on-one mentorship to students struggling with complex topics like asynchronous requests, form validation, and CRUD operations. Assisted in structuring and reviewing capstone projects, ensuring students could successfully deploy their full-stack web applications using GitHub and PythonAnywhere. Facilitated discussions on front-end vs. back-end development, helping students understand how JavaScript frameworks like jQuery integrate with Django. Created supplementary learning resources, including example code snippets and walkthroughs, to help students grasp tricky concepts outside of lecture time.

• Product Designer · General Motors01-01-2024 – 05-01-2024

  Designed and developed an AI-powered luxury in-vehicle infotainment system by integrating personalized HUD displays, multimodal interactions including voice, touch, and gesture, and ergonomic UI frameworks while ensuring compliance with NHTSA guidelines to minimize driver distraction through optimized interaction flows, touch targets, and accessibility-driven design. Conducted a competitive analysis of industry-leading automotive UX systems including Mercedes-Benz MBUX, BMW iDrive, and Tesla UI to benchmark best practices in AI-driven personalization, HMI design, and information hierarchy, applying insights to iterate on 80+ wireframes and prototypes that refined key workflows for navigation, media control, and climate settings to enhance usability and engagement. Led usability testing with 50+ participants by applying research methods such as task completion rate analysis, eye-tracking insights, and error rate evaluations to assess interaction efficiency, accessibility, and cognitive load, leading to a restructuring of navigation systems and UI elements that improved information discoverability and reduced user friction. Developed an adaptive in-car theme system that enables drivers to personalize ambient lighting, instrument cluster layouts, and interface aesthetics by leveraging luxury market research, cognitive psychology principles like Hick’s Law and Fitt’s Law, and HMI ergonomics to create an intuitive experience that balances personalization and safety. Collaborated with GM’s HMI designers, engineers, and product strategists to align technical feasibility with user-centered design by integrating system constraints into UX decisions, presenting final research-backed automotive concepts to General Motors stakeholders, and demonstrating a data-driven approach that earned recognition for usability and personalization in luxury vehicle interfaces.

• Information Architect · The Understanding Group (TUG)07-01-2023 – 12-01-2023

  Designed AI-driven IA for enterprise platforms, improving navigation, search pathways, and discoverability by refining AI-powered digital experiences through UX research (Hotjar, Google Analytics). Optimized search usability and wayfinding, boosting engagement by 25% via faceted navigation, auto-suggestions, and query interpretation, leveraging heuristic evaluations to enhance navigation efficiency.

Education

• University of MichiganMaster of Science - MS, Information (MSI) – User Experience (UX), and Human-Computer Interaction (HCI)
• Bharati Vidyapeeth University College Of Engineering, PuneBachelor of Technology - BTech, Electrical, Electronics and Communications Engineering

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