About
Hi, I am Prahaladh, a founding engineer at Circle-AI, where I am building AI agents for insurance. I am Engineering hire #2 for this company funded by Unusual Ventures, and I am primarily responsible for the backend and infra of our product.
I recently graduated from the School of Computer Science (SCS), CMU. I worked as a machine learning engineer at the Language Technologies Institute, CMU, advised by Prof. Chenyan Xiong and Prof. Mona Diab, where my primary role was to develop tools that aid multimodal RAG and deep research agents research.
I was also on the organizing committee of the NeurIPS competition: MMU-RAG: the Massive Multi-Modal User-Centric Retrieval-Augmented Generation Benchmark (Competition Website), where my primary role involved the system design and implementation of the live evaluation platform along with participant registration and leaderboard calculation mechanisms.
I was also a privacy engineer in the Software and Societal Systems department, CMU, where I worked under Professors Norman Sadeh, Lorrie Cranor and Hana Habib on developing comprehensive case studies for applying the UsersFirst framework. For my capstone project, I partnered with Meta's AI Risk and Governance team to investigate user privacy expectations and develop solutions for enhancing transparency in AI voice assistants.
Before joining CMU, I worked as a Software Engineer at Bank of America in their APAC Payments team and also worked as a Software Engineer intern at the middleware engineering division of RedHat.
Keywords: AI Agents, Multimodal RAG, Privacy Engineering, Federated Learning, Evaluation Platforms.
Want to chat? Send me an email at prahald92 at gmail dot com or a text on LinkedIn.
Timeline
Research
Publications and research artifacts.
Deep Research Comparator: A Platform For Fine-grained Human Annotations of Deep Research Agents
, Jiahe Jin, Zhihan Zhang, Tevin Wang, Andy Tang, Lucy Mo, Morteza Ziyadi, Leonardo F.R. Ribeiro, Zimeng Qiu, Markus Dreyer, Akari Asai, Chenyan Xiong
arXiv preprint arXiv:2507.05495, Jul. 2025.
Federated Learning for Colorectal Cancer Prediction
Yash Maurya, , and Poornalatha G.
2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT), pp. 1-5, Oct. 2022.
Motion Pattern-based Crowd Scene Classification Using Histogram of Angular Deviations of Trajectories
A. K. Pai, , U. Raghavendra, and A. K. Karunakar.
The Visual Computer, vol. 39, no. 2, pp. 557-567, Jan. 2022.