Education

Carnegie Mellon University Master of Information Systems Management

Areas of Focus: Machine Learning, Computer Science, Business GPA: 3.67/4.0

Aug 2019 – Dec 2020

Pittsburgh, PA

Relevant Coursework: Intro to Deep Learning (TA, A+), Reinforcement Learning,

(Non)-Convex Optimization (A-), Computational Neuroscience (A+), Distributed Systems, R&D Management, Finance, Agile Washington University in St.

Louis

B.A. Marketing, Chinese

Minor in Computer Science

GPA: 3.5/4.0

Aug 2014 – Dec 2018

St. Louis, MO

Relevant Coursework: Intro. to Machine Learning, Cloud Computing for ML, Data Structures and Algorithms, Linear Algebra, Statistics II Professional Experience

ResQ Machine Learning Scientist

- Lead ML scientist for a Johns Hopkins University supported startup developing a Portable Electronic Stethoscope (PES) with the latest hardware, Deep Learning (DL), and Internet of Things (IoT).

- Prototype design already finished, now working with manufacturers to develop physical prototypes, and planning clinical trials with JHU.

- Currently developing ML models for detection of lethal arrythmia. Dec 2020 - Present

(Remote)

Carnegie Mellon University Teaching Assistant (11-785 Intro to Deep Learning)

- Wrote 4 homework assignments based on the math and programming of deep learning libraries like PyTorch

- Delivered two recitation lectures on Matrix Calculus and Backprop, also holding office hours and answering online questions

- Answered 3400+ student questions on online platform Piazza Jun 2020 – Dec 2020

Pittsburgh, PA

Bosch USA Data Mining Intern

- ML engineering for Bosch’s Cloud Services R&D division

- Built system that tracks and evaluates Social Distancing for retail stores. Based on Computer Vision positioning of customers

- Researched, selected, and implemented state-of-the-art trajectory compression algorithm. Projected to reduce data volume by 15x Summer 2020

Pittsburgh, PA

John Deere Product Planning Intern

- Business analytics using R, SQL, and VBA

Summer 2017

Waterloo, IA

Washington University in

St. Louis

Research Assistant

- Performed text web scraping and data analysis tasks with R Aug 2016 – May 2017

St. Louis, MO

Awards & Scholarships

MISM Merit Scholarship (CMU) – 50% of tuition for all semesters Fall 2019 – Fall 2020 Dean’s List (CMU, Wash U) – Cumulative GPA of 3.5 or above Fall 2018, Fall 2020 Skills

Coding Languages: Python (3 years), Java (4 years), SQL (3 years), MATLAB (2 years), R (2 years), Spark (1 year) Software/Libraries: PyTorch, TensorFlow, Amazon Web Services (AWS), Pandas, NumPy, SQL, Linux, Git, Microsoft Office Languages: English (Native), Korean (Fluent), Chinese (Professional) Sae (Jacob) Lee

941-***-****

adjkks@r.postjobfree.com

jacoblee628.github.io

5562 Hobart St

Apt 412

Pittsburgh, PA 15217

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