Chen An Fan

-(- GitHub | LinkedIn Chen-An Fan Ex-McKinsey product development intern and researcher focusing on computer vision with 4 years of ML experience Education Master of Information Technology (with specialisation in: Artificial Intelligence) Jul 2019 - Dec 2021 The University of Melbourne • Thesis: Low-resolution scene context for rapid object detection • WAM: 89/100 (graduate with Distinction, First Class Honours) • Melbourne School of Engineering Scholarship holder • Relevant Subjects: Computer Vision, Advanced Imaging, Natural Language Processing, Distributed Systems, Security Analytics, Statistical Machine Learning, AI Planning for Autonomy, Advanced Database Systems, Internet Technologies Bachelor of Science in Mechanical Engineering National Taiwan University (NTU) • GPA: 3.97/4.3 • Student Representative of College of Engineering (Sep. 2017 – Jun. 2018) • Relevant Subjects: Sensor System, Electrical Engineering Fundamentals, Automatic Control Exchange Student in College of Engineering Peking University • GPA: 89.5 / 100 Sep 2014 - Jun 2018 Jun 2016 - Jul 2016 Experience Master's Research Student Aug 2021 - Dec 2021 The University of Melbourne, Melbourne, Australia • Conducted computer vision research under Dr. Kris Ehinger supervision with topic "Low-resolution Scene Context for Rapid Object Detection" (URL: https://github.com/derek20F/Master-Thesis-Chen-An-Fan) • Proposed a vision transformer (ViT) based model to simulate contextual priming mechanism in human brain • Predicted the likely location of targets in an image by only using the low-level scene context • Resolved the object-centred limitation of the current SOTA CNNs based object detectors by skipping the local features of targets • Reached 69.9% mAP in the indoor environment with 180.6 FPS detection speed on a single NVIDIA Tesla P100 12GB GPU Intern of Product Development Jan 2018 - May 2019 McKinsey & Company - Design to Value Lab, Taipei, Taiwan • Developed image recognition software and machine learning models for automated electronics cost analysis • Augmented the Faster RCNN model with spatial pyramids to handle extremely high-resolution images • Reached 96% accuracy for a wide variety of scale of electronic components detection • Designed a three-axis scanner for stable PCBA scanning • Collaborated with global team from USA, Germany, and India Engineering Contractor Aug 2018 - Oct 2018 Shopee Pte Ltd, Taipei, Taiwan • Developed an automated package size measurement system by using cameras, IR sensors, and OpenCV Relevant Project Work Fine-grained Image Localisation Rumour Detection & Analysis by NLP Detecting Cyberattacks in Network Traffic Data AI Search Agent – PDDL Planning Vanishing Point Detection AI Agent for Hangman Word Guessing Game Twitter Social Network Link Prediction AI Search Agent - Offline Planning Parking Occupancy Detection from CCTV Images Machine Learning Based Cyberattack Detection AI Agent - Azul Board Game Multi-threaded Dictionary Server Chen-An Fan - M: (- Competition Melbourne Business Analytics Datathon Feb 2021 Team leader, Team Absolute Value, Melbourne, Australia • Predicted the future house price in Victoria based on the supply/demand of the housing market and the covid impaction on the economy MISGA ThoughtWorks Case Competition (Top 5) Team player, Team Case Mates, Melbourne Information System Graduate Association (MISGA) • Purposed a business and technical solution to solve a real-world case • Set up and presented a demo website for debt collection to client Apr 2020 Make NTU Makerthon (MediaTek Inc. First Prize) Apr 2018 Team leader, Smart Trash Hotspot System Team, Taipei, Taiwan • Built a smart trash can, which can automatically compress the trash and measure the amount of trash inside • Established trash hotspots system by collecting the volume of trash in each smart trash can and upload to MediaTek cloud platform • Set schedules and checkpoints; facilitated my team to fulfil the tasks within 24 hours Technical Skills & Certifications • Programming: Python, TensorFlow, PyTorch, Keras, OpenCV, Convolutional Neural Network, Vision Transformer, JAVA, C/C++, SQL, MySQL, GitHub, MATLAB, Arduino, Raspberry Pi, Colab, Pandas, scikit-learn, scikit-image, NumPy, matplotib, PIL, Azure, Power BI, Tableau, API, scipy, NLP • Software: SPLUNK, COMSOL, AutoCAD, SolidWorks, Mastercam, PowerMILL, iWitness, CloudCompare, Agisoft Metashape, LabVIEW • Manufacturing Skills: Milling, Lathe, Grinding, Drilling, CNC machining, Water jet cutting, Laser cutting, 3D printing, Electrical discharge machining, Welding • ZETARIS Networked Data Platform Professional Languages • Native in Mandarin Chinese & Taiwanese; Proficiency in English Chen-An Fan - M: (-