Builder · Researcher · Technologist
I design and build systems for people across AI systems, interaction design, and spatial computing.
My work sits between engineering, design, and human behavior: ML-backed planning tools, browser utilities, research-driven product studies, XR prototypes, and interfaces that make complex workflows easier to understand and use.
Currently pursuing an MS in Human-Computer Interaction at the University of Maryland, with a background in Computer Engineering from the National University of Singapore.
- Human-centered AI systems: building and evaluating AI-assisted workflows, structured outputs, and decision-support tools
- UX engineering: translating interaction ideas into responsive, usable, production-minded interfaces
- XR / spatial computing: prototyping AR and VR systems around embodied interaction and environment-aware experiences
- Research + evaluation: using qualitative and quantitative methods to understand behavior, test ideas, and improve what gets built
Chrome extension for making long ChatGPT conversations lighter, faster, and easier to navigate.
Focus: Browser engineering, interaction design, performance, privacy-aware product decisions
Stack: JavaScript, Chrome Extension APIs
A case-study system for presenting work across AI systems, UX research, interaction design, and XR.
Focus: Frontend architecture, content systems, visual hierarchy, responsive interaction
Stack: Next.js, React, TypeScript, Tailwind CSS
Research-oriented pipeline for converting unstructured media text into structured sentiment and framing representations.
Focus: NLP pipelines, LLM evaluation, bias awareness, structured outputs
Stack: Python, NLP, LLM-based analysis
Real-time AR laser tag system combining physical hardware, multiplayer gameplay, haptics, and Unity-based interaction logic.
Focus: AR systems, multiplayer sync, physical computing, interaction feedback
Stack: Unity3D, C#, MQTT, Vuforia
AI-driven system for extracting lyrical and melodic content from uploaded audio, with reliability evaluation across audio conditions.
Focus: Audio ML, ASR, model evaluation, frontend clarity
Stack: Python, React, SpeechBrain, Spleeter
Local discovery app for surfacing non-touristy experiences through map-based browsing and recommendation-driven exploration.
Focus: Mobile product design, local discovery, map interaction
Stack: Flutter, Firebase, Google Maps API, Figma
- Built ML-backed planning and analytics tools used by 200+ planners and business users across 10+ APAC markets
- Contributed to a 24% improvement in promotional efficiency through decision-support tooling
- Improved analytics adoption through iterative feature refinement, usage monitoring, and stakeholder feedback
- Built production React / JavaScript interfaces for customer-facing utility workflows
- Prototyped XR systems across mobile AR, VR education, multiplayer interaction, and embodied feedback
Engineering: React, Next.js, TypeScript, JavaScript, Python, SQL, Flutter, Docker
AI / Data: pandas, PyTorch, scikit-learn, SpeechBrain, Spleeter, NLP, LLM evaluation, Power BI
Interaction / XR: Unity3D, C#, Vuforia, MQTT, XR Interaction Toolkit, Figma
Research: Diary studies, contextual inquiry, usability testing, A/B testing, affinity mapping, journey mapping
I like building systems that are technically solid, but also legible to the people using them.
The part of building I care about most is not just whether something works. It is whether the system feels coherent, whether the interface makes the right thing easier, and whether the technical choices actually support the human workflow underneath.
- Portfolio: arindamtripathi.com
- LinkedIn: linkedin.com/in/arindamtrip
- Email: aritrip@umd.edu