I'm an engineer whose deeply excited about AI-interfaces, human-computer interaction, and software development. I'm currently an AR + AI researcher at Duke University (published in IEEE ISMAR, 2025), and co-founder of Hiant, a team collaborating with statewide non-profits (totaling 20K+ members) to deploy member management software. I love how technology can be used to augment human capabilities. Outside of computers, I also actively engage in policy initiatives, eager to be civically engaged and also examine the legal and ethical implications of the tools I build.
- 📷👓🤖 Engineering Interest: Currently exploring Smart Glasses Software, backed by Intel Corporation (Intel Global AI Awardee, 2025). I designed a perception architecture leveraging depth mapping algorithms + object detection and LLMs to enable metrically depth-aware navigation for the visually impaired. Next step: exploring how Edge-VLMs can be utilized to deploy a working system that doesn't stream private daily life over the web.
- ⭐ Learning Goals (2026): Full-stack deployment/scaling (Docker, Kubernetes), Multi-Modal AI and Perception Models, AR Systems.
- 🏛️📚🎸🏋️ Beyond Building: If I'm not building new ideas, catch me engaging in policy as a member of North Carolina's Student Gov. University System, reading (biographies!), practicing the guitar, or weight-lifting!
- E-Mail: joshua.chilukuri@gmail.com
- Programming Languages: Python, JavaScript, TypeScript, C#
- Application Development: Node.js, Tailwindcss, HTML, CSS, React, React Native, Expo,
- Databases: PostgreSQL
- Tools & Platforms: Git
📚 Publications
[ISMAR-Adjunct 2025 Paper] IEEE International Symposium on Mixed and Augmented Reality (Adjunct). https://www.computer.org/csdl/proceedings-article/ismar-adjunct/2025/
A Neurosymbolic Framework for Interpretable Cognitive Attack Detection in Augmented Reality R. Chen et al., 2025. arXiv:2508.09185. https://arxiv.org/abs/2508.09185
Predicting Low Food Access: An Empirical Assessment of Machine Learning Algorithms and Socio-Demographic Predictors J. Chilukuri, 2025. TechRxiv (preprint). https://www.techrxiv.org/users/961463/articles/1330464