Phuoc Pham

Phuoc Pham Email and Phone Number

AI Researcher | PhD @ TU Munich @
Phuoc Pham's Location
Ho Chi Minh City, Vietnam, Viet Nam
About Phuoc Pham

Experienced software engineer and AI researcher with a Master’s Degree in Computer Vision, Model Compression, NLP, GraphNet, and Applied RL from Incheon National University (Korea). Proficient in multiple Machine Learning and Deep Learning domains, including Computer Vision, Reinforcement Learning, Model Compression, and Graph Neural Network. Skilled in Python, C/C++ programming language, and AI frameworks like Pytorch, Tensorflow, and Keras. Experienced in software development, testing, version control, and CI/CD with a strong ability to manage multiple projects.- Proficient in machine learning libraries and tools: Pytorch, Tensorflow, Scikit-learn. - Familiar with Docker, Kubernetes, Google Cloud, and the concept of microservices. - Knowledgeable in web technologies like Django/Rest API, Flask, Redis, MongoDB, and other communication protocols. - A strong desire to learn advanced machine learning algorithms. - Experienced in Agile/Scrum software development processes in a commercial setting.To learn more about me and some of my projects/papers/master’s thesis, please visit: https://phuocphn.info

Phuoc Pham's Current Company Details
System-on-Chips (SoC) Lab

System-On-Chips (Soc) Lab

AI Researcher | PhD @ TU Munich
Phuoc Pham Work Experience Details
  • System-On-Chips (Soc) Lab
    Researcher
    System-On-Chips (Soc) Lab Aug 2019 - Present
    Incheon, South Korea
    As part of my previous laboratory team, I applied graph neural network and reinforcement learning to hardware logic synthesis for EDA tools, improving efficiency. I designed GNN models to predict circuit delays and constructed state-representations for RL agents. My work included new machine learning approaches for logic synthesis and novel applications of RL in graph structures.Skills: Machine Learning, Neural Network Design, Computer Vision, Reinforcement Learning, Graph Neural Network, Logic Synthesis Optimization.Responsibilities:- Improved compressed model accuracy by 20% with symmetric quantization.- Developed flexible run-time bit-width adaptation for object detection.- Conducted research on RL, binarization/quantization, and GNN state representation.- Extracted data from OpenSTA and analyzed it using Cppyy.- Utilized Pytorch packages for ML algorithm development and visualization.- Proficient in requirement gathering, analysis, estimation, testing, and reporting.
  • Micas (Ku Leuven)
    Visiting Researcher
    Micas (Ku Leuven) Mar 2023 - Oct 2023
    Leuven, Flemish Region, Belgium
  • Katalon
    Ai Research Engineer
    Katalon Mar 2022 - Feb 2023
    Ho Chi Minh City Metropolitan Area
    Responsibilities:- Proposed a new autonomous testing model to evaluate tools and techniques in software testing.- Developed a new model to capture the interaction between web elements, it’s served as a building block for other downstream tasks include: test generation, test prioritization, and self-healing in test automation.- Clarified the requirements, objectives and future directions for the working projects.
  • Incheon National University
    Graduate Research Fellow
    Incheon National University Aug 2019 - Nov 2021
    South Korea
    I joined System-on-Chips Lab as a researcher at R&D Institute, Incheon National University.
  • X Solution
    Full Stack Software Engineer
    X Solution Apr 2017 - Aug 2019
    Ho Chi Minh City, Vietnam
    Skills: Video streaming, Websocket, RESTful API, MicroservicesProjects: 4G Raspberry Pi Streaming, Encrypted Chat App (Back-end)Responsibilities:- Developed and deployed web application using Django Rest Framework, Docker, and Kubernetes- Performed web scraping and information extraction for IoT device monitoring with Python, Scrapy, and Websocket- Implemented Event Task for scheduling and monitoring events- Worked closely with development teams to integrate RESTful APIs for client requests for an Internally Encrypted Chat App.- Built and published interactive reports and dashboards using Django and Scrapy.
  • Mmlab University Of Information Technology, Vnu
    Research Assistant
    Mmlab University Of Information Technology, Vnu May 2015 - Jul 2017
    Ho Chi Minh City Metropolitan Area
    At MMLab, I focused on visual search, traffic sign and small object detection. My research was published in the ICONP 2017 Conference. I gained a strong background in AI/ML, Deep Learning, Python, Computer Vision, and Object Detection during my time there.My responsibilities included researching and evaluating AI/ML CV models, coordinating with team members on semantic content-based video search, deploying face recognition for lab management, and reproducing the results of well-known state-of-the-art CV techniques.

Phuoc Pham Education Details

Frequently Asked Questions about Phuoc Pham

What company does Phuoc Pham work for?

Phuoc Pham works for System-On-Chips (Soc) Lab

What is Phuoc Pham's role at the current company?

Phuoc Pham's current role is AI Researcher | PhD @ TU Munich.

What schools did Phuoc Pham attend?

Phuoc Pham attended Technical University Of Munich, Ku Leuven, Incheon National University, University Of Information Technology.

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