Summary
Overview
Work History
Education
Skills
Clearance
Accomplishments
Timeline
Generic

Ran Xia

Sterling,VA

Summary

Dynamic AI/ML Engineer with expertise in computer vision and model optimization. Proven ability to enhance use-case-oriented datasets and drive impactful results through technical writing and effective client communication. Experienced in leading law enforcement projects from lab to field deployment, leveraging skills in Bash, SQL, and Python.

Overview

4
4
years of professional experience

Work History

AI/ML Engineer

Noblis
Reston, VA
01.2022 - Current

Full-stack participation in a computer vision (CV) project for law enforcement, including researching initiatives, data acquisition, model improvement, auxiliary pipeline development, and product deployment and maintenance at the client site. Supported internal and client reporting with customized tabular and graphic formats at each stage.

  • Led the development and deployment of a video activity detection pipeline, integrating image and video components into the company's media processing product for client-site deployment.
  • Co-led the enhancement experiments on an image transformer model. Drove significant improvements and exceeded the desired performance level.
  • Co-led a client-site annotation project, customizing and deploying annotation tools, training government agencies, and ensuring quality assurance.
  • Contributed to research and presentations on alternative approaches to age estimation and activity detection.
  • Assisted in the development of a novel annotation schema for law enforcement use cases, contributing to training material across various formats.
  • Acted as an on-site representative, facilitating communication between government clients and development teams to drive project improvements.

AI/ML Intern

Noblis
Reston, VA
05.2021 - 07.2021

Research assistant in applying Explainable AI (XAI) to Natural Language Processing (NLP) models, and the co-presenter of the final research project for the company's research committee.

  • Design and implement a series of experiments using XAL tools (SHAP and LIME) in sentiment analysis with a pretrained and fine-tuned BERT transformer model.
  • Derived a key phrase extraction pipeline using XAL tools based on sentiment relevancy for explainable model inference interpretation.

Education

Master of Science - Information Technology - Data Science Track

Marymount University
Arlington, VA
01-2022

Skills

  • Machine learning and pattern recognition
  • Model evaluation and pipeline optimization
  • Data visualization and analysis
  • Bash, SQL, and Python programming
  • Transformer model development
  • Annotation schema design
  • Technical writing and presentation
  • Client communication
  • Cross-functional collaboration
  • Problem solving

Clearance

Top Secret 

Accomplishments

  • Company Project Award | Award of Excellence 2023
  • Publications | “Credit Card Fraud Detection: An Evaluation of SMOTE Resampling and Machine Learning Model Performance,” Inderscience, 2022; “An Evaluation of Variational AutoEncoder in Credit Card Anomaly Detection”, Big Data Mining and Analytics, 2024

Timeline

AI/ML Engineer

Noblis
01.2022 - Current

AI/ML Intern

Noblis
05.2021 - 07.2021

Master of Science - Information Technology - Data Science Track

Marymount University
Ran Xia