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Experience

Data Scientist & AI Engineer with expertise in machine learning, full-stack development, and scalable cloud solutions.

📍 New York City, NY • 📧 jhong1711785634@gmail.com • 📱 (313)-265-1503

Professional Experience

Full-time

Data Scientist & AI Engineer

HireBeat
New York, NY

Leading advanced data architecture development and AI workflow automation, focusing on LLM integration and scalable cloud solutions.

  • Developed Python-based LLM workflow automation platform with Google Suite API integration
  • Engineered advanced Graph Database with RAG architecture on AWS, improving data retrieval efficiency
  • Led cross-functional Agile teams with daily stand-ups and weekly sprints
  • Optimized LLM prompts and performance through OpenAI GPT integration
  • Implemented blue-green deployment and canary release strategies using Jenkins and Ansible
PythonAWSLLMGraph DatabaseRAGOpenAI GPTMySQLPostgreSQL
Jul. 2024 - Present
Internship

M&A Advisory Associate Research Intern

KPMG Shanghai
Shanghai, China

Conducted comprehensive industry research and M&A advisory support across pharmaceuticals and 3D printing sectors.

  • Analyzed over 100 companies using Python, R, Pandas, and NumPy
  • Reduced research turnaround times by 2 hours through process automation
  • Conducted client interviews and formulated strategic questions
  • Authored white papers detailing market trends and financial performance
  • Created presentation decks for client engagements
PythonRPandasNumPyggplot2ShinyMarket Research
Jun. 2023 - Aug. 2023
Internship

Machine Learning Engineer & Software Development Intern

UVA DevHub
Charlottesville, VA

Developed full-stack applications and machine learning solutions for predictive modeling and automated data processing.

  • Built full-stack web application using Django, ReactJS, and Bootstrap
  • Implemented TensorFlow predictive models, reducing IT downtime by 9%
  • Engineered automated data pipeline using AWS Lambda and serverless architecture
  • Improved data forecasting accuracy through advanced neural networks
  • Integrated gradient descent and regularization techniques
DjangoReactJSTensorFlowAWS LambdaBootstrapNeural Networks
Jun. 2022 - May 2023

Education

Master's Degree

M.Sc. in Business Analytics

Columbia University

New York, NY
Aug. 2023 - Dec. 2024
Bachelor's Degree

B.A. in Computer Science

University of Virginia, School of Arts and Sciences

Charlottesville, VA
Aug. 2019 - May 2023

Technical Skills

Programming Languages

PythonJavaC++PHPShellHTMLCSSJavaScriptR

Python Libraries & Frameworks

NumPyPandasTensorFlowPyTorchmatplotlibNeo4jKerasGurobiDjangoReactJS

Cloud & Databases

AWS (S3, Lambda, Glue)MS AzureGoogle CloudSQLPostgreSQLGraph DatabaseNeo4j

Notable Projects

EcoLegal Assistant: LLM-Driven Environmental Compliance Solutions

RAG-powered environmental compliance solution using Azure OpenAI and Neo4j graph database.

  • Pre-processed 1M+ texts, graphs, and tables from Title 40 CFR
  • Deployed on Azure OpenAI with prompt engineering and embedding matching
  • Utilized Cypher querying in Neo4j for precise legal guidance
Jan. 2024 - Apr. 2024

Machine Learning Research: SoK: Pitfalls in Evaluating Black-Box Attacks

Comprehensive platform for categorizing black-box attacks in image domains.

  • Implemented 10+ adversarial attacks with 3,000+ lines of code
  • Paper accepted by 2nd IEEE Conference on Secure and Trustworthy ML
  • Developed attack categorization framework for image security
Aug. 2022 - Apr. 2024