Python Manager

Byungheon (Joseph) Jeong

714-***-**** *********.*****@*****.*** gitlab.nautilus.optiputer.net/byungheon-jeong INTRODUCTION & TECHNICAL SKILLS

Highly motivated & curious undergraduate researcher looking to join teams working on the following fields: cloud infrastructure, machine learning, edge computing, computer vision. Recent experiences in image processing, project management, cloud infrastructure, and (non-Bayesian) statistical inference using TensorFlow, OpenCV, Python, Pandas, Excel, and Kubernetes EDUCATION

University of California, San Diego La Jolla, CA

BS in Data Science, Minor in Mathematics 9/2017 – 3/2022 Relevant Coursework:

• DSC 20-30-80: OOP, Data Structures, and Machine Learning

• Math 171A: Numerical Analysis using Linear Algebra & Matrix Decompositions

• Math 180A: Independence, Expectation, Conditional Probability, Parametric Models

• Math 181A-B: GOF, 2-Sample Hypothesis Test, Regression, Non-Parametric Tests, Basic ANOVA PROFESSIONAL EXPERIENCE

Nautilus Research Group, Pacific Research Platform La Jolla, CA Computer Vision & Edge Device Researcher 7/2019 – Current

• Created Kubernetes resources in a GPU cluster, Pacific Research Platform, to make remote development/training environments

• Working on extracting, curating, and generating wildfire image databases for image classification and semantic segmentation

• Used OpenCV, Python Image Library, and TensorFlow to train convolutional neural nets for wildfire classification

• Created programs that do fire-smoke inference on NVIDIA Jetson, edge GPUs, connected to in-field cameras in California Student Foundation Investment Committee, UCSD Foundation La Jolla, CA Portfolio Manager 9/2017 – Current

• Conducted education on the financial statements, discounted cash flow analysis, and comparable analysis to new analysts

• Set fund investment strategy during times of extreme volatility and adjusted allocation guidelines

• Presided over a student-run investment committee managing a ~$700,000 endowment portfolio, which is overseen by the financial committee of the UC San Diego Foundation Board of Trustees Integrated Procure to Pay Systems, UCSD La Jolla, CA Technology Project Management Intern 2/2018-9/2018

• Helped maintain an integrated Procure to Pay network that manages university wide procurement

• Worked with University developers to Integrate CRM and SRM products with internal ERP system

• Worked with SRM provider Jaggaer to enable internal and external suppliers onto UCSD P2P platform PROJECTS

FPGA-GPU Research Paper

2/2020 – Current

• Working on a research paper with the Pattern Recognition Lab comparing the performance of Generative Neural Networks on FPGAs and edge GPUs

• Developed code to analyze floating point operations, runtimes, streaming multiprocessor efficiencies, throughput of PGAN Performance, and power usage on edge GPUs

• Learned about the structures of Maxwell architecture and the how that ML libraries use the GPU resources 2019 CFA Research Challenge

9/2018 – 5/2019

• Produced a research report for a San Diego bank (NYSE:AX; Axos Bank)

• Won the 2019 San Diego CFA competition and advanced to the Americas competition in NYC ADDITIONAL INFORMATION

Scholarships/Awards: Triton Research and Experiential Learning Scholar, NSF REU scholar Competencies: Thomson One, Factset, Python, Kubernetes, Docker, Python Image Library, Tensorflow (through Keras API), Numpy, OpenCV (through python wrapper), Nvidia Jetson development Interests: Guajira, Labeling, Axiology, Metaphysics, Fried Chicken, Salsa Dancing, Martial History, Options Pricing REFERENCES

Srinjoy Das Ph.D, Post-Doctorate Researcher, Qualcomm Institute – The Pattern Recognition Lab (*****@****.***) Philip Gresser, Investment Banking Analyst, UBS (*************@*****.***)

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