Resume


Education
    March 2023
  • The University of Washington - Seattle, WA
    • • Master of Science in Data Science
    • • GPA: 3.9/4.0

    January 2021
  • The University of North Carolina at Charlotte - Charlotte, NC
    • • Bachelor of Science in Computer Science (Concentration in Data Science)
    • • Minor: Mathematics
    • • GPA: 3.96/4.0
Skills
  • Languages
    • • Python, C, C++, Java, Javascript

  • Software Libraries & Tools
    • • PyTorch, FastAI, TensorFlow, OpenCV, SkiKitLearn
    • • Relational Databases, AWS, Git, Linux, ReactJS, node.js, Restful APIs
Experience
    January 2021 - June 2021
  • Lowe's Companies - Software Engineer - Charlotte, NC
    • • Created an internal web application representing total sales metrics with parameter handling and filtration using React and Hapi.js.
    • • Built dynamic data visualizations with ApexCharts.js.
    • • Implemented continuous integration features, unit testing with Enzyme and Jest, and deployment automation via Jenkins.

    June 2020 - August 2020
  • Lowe's Companies - Data Science Intern - Mooresville, NC
    • • Routed incoming requests with various parameters to pertinent machine learning models using FastAPI and Swagger based on DACI (Data and Computational Intelligence Group) user permissions.
    • • Created a web-based React application for Data Scientist and Machine Learning experts to view individual access to models and data.
    • • Implemented continuous integration, unit testing, and deployment automation via Jenkins.

    December 2020 - Current
  • Phylomics - Software Engineer - Georgetown, Washington D.C
    • • Designed a prototype react web application to display patient phylogenetic trees based off microarray and proteomic datasets uploaded to the website.
    • • Ensured validity of genomic dataset via Python lambda script utilizing NumPy and Pandas.
    • • Developed an Amazon Web Services Amplify cloud-based application with user authentication and verification to distinguish and authorize patients.

    May 2019 - August 2019
  • Fidelity Investments - Data Engineering Intern - Charlotte, NC
    • • Developed a conversational bot that provides fund/investment operational data for internal and external clients using Amazon Web Services.
    • • Queried and parsed data from multiple databases to return information using web mining techniques.
    • • Implemented Agile methodology and maintained test driven development for UI and backend.
Research
    December 2019 - December 2020
  • Undergraduate Research - Augmented Reality Medical Health System - Charlotte, NC
    • • Built an augmented reality system to reduce critical mistakes in patient and dosage administration using Google Glasses-2 and Moverio Epson BT-300 AR systems.
    • • Developed an OCR model using Keras-OCR and AWS to identify information on medical bottles and display relevant dosage information and classification on high alert drugs.
    • • Investigated accuracy of mask-rCNN and instance segmentation on bounding box detection of syringes.
    • • Created an open-cv based computer vision algorithm to detect a syringe and measure volume of contained liquid utilizing image transformation, edge thresholding, and erosion/dilation morphological techniques.

    August 2019 - December 2019
  • Undergraduate Research - Graph Based IoT Bus Arrival & Departure Analysis - Charlotte, NC
    • • Performed quantitative analysis of arrival and departure times of university transit buses to reduce errors predicted by the university’s web application programming interface.
    • • Generated thousands of realistic errors per route within the graph network via scikit learn and NumPy.
    • • Analyzed edges in network that caused significant overhead by incorporating analysis of other factors such as weather and traffic severity.

    August 2017 - December 2018
  • Undergraduate Research - IoT Integrated Deck - Charlotte, NC
    • • Initiated an Internet of Things (IoT) research project using embedded devices to collect, store, and analyze traffic severity data in parking decks at UNC Charlotte.
    • • Analyzed traffic flow at UNC Charlotte and built a predictive model using sci-kit learn to investigate traffic occurrences within random time intervals.
Leadership
    July 2020 - December 2020
  • Introduction to Machine Learning Teaching Assistant - Charlotte, NC
    • • Led labs and mentored students on upper level machine learning material such as supervised, unsupervised, and reinforcement learning and data analysis techniques to senior level students.
    • • Held office hours and lecture on assignment materials to support understanding on the intuition, mathematics, and programming necessary to machine learning algorithms.

    December 2018 - December 2019
  • Data Structures & Algorithms Lead Teaching Assistant - Charlotte, NC
    • • Teach higher level programming concepts pertaining to data structures and relevant algorithms.
    • • Analyze time complexity of the written code
    • • Lead recitations and one-to-one mentoring for students.

    August 2017 - December 2018
  • Introduction to Computer Science Teaching Assistant - Charlotte, NC
    • • Teach procedural and basic OOP programming concepts to new CS students.
    • • Lead a technical lab of 26 students p/week.
Activities
    January 2019 - May 2020
  • Charlotte Analytics Club - President and Founder - Charlotte, NC
    • • Created a Data Science & Machine Learning club to inform students about data science concepts, techniques and frameworks.
    • • Taught and led lectures covering Linear/Nonlinear/Logistic Regression and Deep Neural Networks.
    • • Led students in data projects utilizing Kaggle/Google data sets & ML frameworks such as TensorFlow.
    • • Had Data Scientist in the industry present cutting edge problems that they face in the field.

    August 2017 - May 2020
  • Association for Computing Machinery - Charlotte, NC
    • • Competed in the Intercollegiate Programming Competition at Duke University where groups of students compete against time to solve 8 competetive programming problems.