Fengli Wu

About

I'm a second-year MS student at UNC-Chapel Hill, studying Computer and Information Science. I have rich industry and research experience in AI. Now I'm building things in Multimodal RAG Systems, AI Agents, Edge Computing, etc.

I'm a First Principles thinker and doer.

Follow @FengliWu
Reach out to me at X at Y dot Z (X=fengliwu, Y=unc, Z=edu).

Experience

Co-Founder & Head of AI @ DomIQ

May 2025 - Present

AI Agents for Property Management

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Machine Learning Engineer Intern @ Nexa AI

May 2025 - Present

On-Device Multimodal AI Models, Nexa SDK for On-Device AI Inference

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Research Assistant @ UNC-Chapel Hill

May 2025 - Present

Multimodal LLM Unlearning, Multimodal AI Agents @ MURGe-Lab (UNC-AI Group) w/ Prof. Mohit Bansal and Dr. Yue Zhang

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Research Assistant @ UNC-Chapel Hill

May 2025 - Present

Wearable Multimodal Edge AI Systems w/ Prof. Arcot Rajasekar

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Research Assistant @ UNC-Chapel Hill

Dec 2024 - Present

Multimodal Agentic RAG Systems @ Human and Machine Intelligence Lab w/ Prof. Yue Wang

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Interinstitutional Registered Student @ Duke University

Aug 2024 - Present

Sensor Array Signal Processing, Signal Processing and Applied Mathematics, Information Theory

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MS Student @ UNC-Chapel Hill

Aug 2024 - Present

Multimodal AI, Deep Learning, Efficient Deep Learning, Statistical Deep Learning, Edge AI Systems, Embedded Intelligent Systems, Information Retrieval, Data Mining, Distributed Systems

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Data Science Intern @ Volvo Cars R&D

Feb 2024 - Aug 2024

Transformer-Based Multivariate Time Series Models, End-to-End Machine Learning Pipelines, Signal Processing, Data Infrastructure

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Undergraduate Student @ Shanghai University

Sep 2020 - Jun 2024

Computer Vision, Machine Learning, Data Science, Internet of Things, Operations Research, Knowledge Management Systems, Data Warehouse, Financial Computing and Programming, Systems Analysis and Design, Data Structures and Algorithms, Advanced Program Design, Applied Statistics, Databases, Economics, Game Theory, Cognitive Science

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Data Analytics Intern @ Hello (formerly Hello TransTech)

Jun 2023 - Dec 2023

Machine Learning Models, Big Data Pipelines, A/B Tests

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Data Analytics Intern @ Aon

Jun 2022 - Feb 2023

Statistical Analysis, Data Processing, Web Development

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Founding Intern @ Haita Tech

Aug 2021 - Mar 2022

Data Analysis, Marketing

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Misc

I won third place in a 256-player Yu-Gi-Oh! Official National League Tournament using a non-meta, self-built Qliphort deck at the age of 15. Yu-Gi-Oh! is widely recognized as one of the hardest trading card games (TCG) in the world.
I captained the Chinese & International Student Union Basketball Team at Shanghai University.