Haoming Guo

Education

University of Southern California

MS, Applied Data Science (GPA: 3.8)

Aug 2023 - Dec 2025 (Expected)

University of Liverpool

BS, Computer Science (First Class GPA: 3.7)

Sept 2019 - Jun 2023

Xi'an Jiaotong-Liverpool University

BS, Information and Computing Science (GPA: 3.7)

Sept 2019 - Jun 2023

Contact Info

Phone

(818) 961-1075

Email

kimigj999666@gmail.com

Location

Los Angeles, CA 90015

Professional Profile

Driven Applied Data Science master's student specializing in Machine Learning Engineering. I have hands-on experience designing, implementing, and optimizing a diverse range of machine learning models – including DETR Transformers for Computer Vision tasks like object detection, Generative Models for cortex thickness image (GANs), Recommendation Systems for user rating prediction, and RAG for LLM tasks, primarily utilizing PyTorch.

Working Experience

CHLV

Machine Learning Engineer Intern

Jan 2025 – Apr 2025

Henan Changlv Group Real Estate Co,. Ltd.

  • Implemented an AI-driven system for parking management, encompassing occupancy tracking and multi-violation detection.
  • Implemented a PyTorch dataset class for KITTI and built the KITTI API by transforming the label to coco-like format.
  • Fine-tuned a pre-trained DETR model by customizing its final classification layer to align with KITTI’s label mapping and conducting extensive hyperparameter optimization, resulting in a substantial increase (12%) in detection performance as measured by average AP and enabling seamless model evaluation with enhanced performance.
INI

Research Assistant

Feb 2024 - Jan 2025

USC INI (Mark and Mary Stevens Neuroimaging and Informatics Institute)

  • Developed a DCN-GAN in PyTorch for cortex thickness mesh generation, enhancing data augmentation.
  • Designed model with ResNet blocks and attention layers, reducing FID score by 41.52%.
  • Optimized model on GPU clusters using Omegaconf and implemented SciPy mesh visualization.
  • Improved GAN stability using WGAN and WGANGP techniques.
Eth

Software Engineering Intern

Nov 2023 - Jan 2024

Eth Tech

  • Implemented distributed e-commerce MongoDB system and backend CRUD operations with Tkinter/PyMongo.
  • Developed a Streamlit-based query interface.
  • Designed MongoDB sharding key, reducing query latency by 50%.
  • Built a real-time DB on AWS EC2 using REST API/cURL.
  • Visualized transaction data using D3.js, Vue, and Deck.gl.
Yisen

Machine Learning Engineer Intern

Aug 2023 - Oct 2023

Yisen Tech

  • Developed a hybrid recommendation system using Yelp data.
  • Processed large-scale data using Spark RDD.
  • Improved collaborative filtering with an XGBoost model, achieving 95.1% accuracy (6% boost).

Skills

Machine Learning

  • Object Detection/Tracking
  • Generative Models (GANs)
  • Recommendation Systems
  • RAG with MCP

Data Management & Viz

  • Distributed Systems (MongoDB, MapReduce,Spark)
  • Visualization (D3.js, Google Charts, Deck.gl)

Frontend & Other

  • React.js, Vue
  • Streamlit
  • Docker & Git

Selected Projects

CNN-Based Brain Tumor Segmentation

Implemented U-Net CNN, achieved 0.95 dice score. Won Best CV Project Award (Imperial College DSSC 2022).

June 2022 - July 2022

Object Detection with DETR on KITTI

Implemented PyTorch dataset/API for KITTI, fine-tuned DETR, increased AP by 12%.

Jan 2024 - Present