Kaushik Lankoji,
Product Designer
@ UC Davis, California
Always crafting new digital experiences and am eager to build a more interactive, technological world.
Hi, my name is Kaushik.
I’m a design student driven by curiosity, systems thinking, and the belief that technology should feel human. I focus on UI/UX, product design, and design-led problem solving, with a growing interest in how AI can improve digital experiences without losing its human touch.
My journey into design began fairly early; tinkering, testing, asking why, and trying to make things better. In high school, I explored interface design, built web apps, and launched small digital projects. Every problem felt like an invitation for a new design. Every idea felt like something that could turn into a product.
Along the way, I stepped into UI/UX as a self-taught designer, where I worked with teams to build interfaces and shape user stories, while learning how different designs can affect real people. It wasn't until I had graduated high school where I truly realized that design wasn't simply just a skill, it was my calling. Now, I've dedicated my journey to the pursuit of crafting a technological world that people can trust, understand, and genuinely connect with.
The Process
Identifying the core problem is the foundation of my entire UX workflow. I approach every project with a user-first mindset, and my structured process allows me to create solutions that serve both user needs and business objectives. Even when working around constraints or shifting requirements, I adapt my flows while consistently maintaining the quality and clarity of my design systems.
Problem
Mapping
Problem
Framing
Solution
Detailing
Solution
Pitching
The Process
Identifying the core problem is the foundation of my entire UX workflow. I approach every project with a user-first mindset, and my structured process allows me to create solutions that serve both user needs and business objectives. Even when working around constraints or shifting requirements, I adapt my flows while consistently maintaining the quality and clarity of my design systems.
Problem
Mapping
Problem
Framing
Solution
Detailing
Solution
Pitching
Case Study
Cyclone Robosub: designing and deploying autonomous underwater vehicles for real-world missions
Cyclone RoboSub is UC Davis’s autonomous underwater vehicle project built for the international RoboNation RoboSub competition. As the team’s first-ever AUV, Manatee was designed from the ground up to operate fully autonomously in complex underwater environments. Powered by eight thrusters and a suite of onboard sensors, Cyclone integrates feedback control, perception, and decision-making algorithms to navigate, manipulate objects, and complete mission tasks. Housed in a watertight enclosure to protect critical electronics, Manatee is not only engineered for competition performance but also for real-world impact, with future plans to support environmental data collection in collaboration with UC Davis faculty.
Case Study
Coherence Presentation Coach: allowing users to refine presentation skills
Coherence is a presentation coach that enables users to refine their presentation capabilities. By integrating 3 separate AI’s: Deepgram, TwelveLabs, and Google Gemini, we crafted a perfect AI model that not only listens to what you say, but how you say it. By analyzing the users’ facial expressions, gestures, and vocal patterns, Coherence is capable of generating a deep analysis with detailed feedback of the user’s presentation.
Case Study
Hestia - Home Management: the ultimate student home and finances management platform
Hestia is a student home and finances application that allows users to split bills and household duties fairly amongst their roommates. By tracking shared expenses, Hestia makes it easy for housemates/roommates to split bills, utilities, and groceries seamlessly within the app. Additionally, users can assign chores amongst one another and distribute responsibilities fairly.
Case Study
Coherence: Presentation Coach
Coherence is a presentation coach that enables users to refine their presentation capabilities. By integrating 3 separate AI’s: Deepgram, TwelveLabs, and Google Gemini, we crafted a perfect AI model that not only listens to what you say, but how you say it. By analyzing the users’ facial expressions, gestures, and vocal patterns, Coherence is capable of generating a deep analysis with detailed feedback of the user’s presentation.
Case Study
Hestia:
Home Manager
Hestia is a student home and finances application that allows users to split bills and household duties fairly amongst their roommates. By tracking shared expenses, Hestia makes it easy for housemates/roommates to split bills, utilities, and groceries seamlessly within the app. Additionally, users can assign chores amongst one another and distribute responsibilities fairly.