About Me

Graduate student in Computer Science with hands-on experience in machine learning pipelines, AI agents, LLM compression frameworks, and large-scale data analysis. Strong background in Python, deep learning, and applied software development, with industry experience spanning AI systems and enterprise analytics.

Skills

Languages: Python, JavaScript, TypeScript, C#, C/C++, R, Java, Bash, SQL

Frameworks: PyTorch, TensorFlow, scikit-learn, React, SupaBase, SvelteKit, Next.js, Transformer, OpenCV

Tools: Docker, Git, Agile, SQLite, NumPy, Pandas, Matplotlib, MATLAB, Power Bi

Work Experience

Research Assistant — SIUE

Feb 2026 – Present

Edwardsville, IL, USA

  • Researched and applied uniform and quadratic quantization techniques to compress large language models and diffusion models, reducing model size while preserving generation quality.
  • Implemented model retraining and fine-tuning pipelines using PyTorch and Bash to optimize quantized models, ensuring high performance and accuracy across various downstream benchmarks.

Software Developer — AierTeam

May 2025 – Aug 2025

St Louis, MO, USA · Summer Internship

  • Architected an autonomous AI agent using C#, Semantic Kernel and LangGraph-based state machines to orchestrate multi-step task generation and execution.
  • Engineered a GUI automation engine with atomic input operations like keystroke injection and programmatic clicks; managed environment isolation using Docker.
  • Collaborated in an Agile team environment, using Git for version control and CI/CD workflows.

Advisor Global Buyer / Data & Analytics — Dell Technologies

Jul 2019 – Sep 2023

Xiamen, Fujian, China · Promoted I5 → I6 → I7

  • Delivered Power BI dashboards using data storytelling to provide leadership with actionable supplier risk insights.
  • Optimized SAP procurement workflows, improving supplier allocation accuracy by 15% through SQL data analysis.
  • Leveraged Oracle Data Hub to analyze real-time data, prioritizing shipments to reduce costs and prevent shortages.

Publications

SPQ framework overview
SPQ: An Ensemble Technique for Large Language Model Compression

Jiamin Yao, Eren Gultepe

Accepted to LREC 2026 Main Conference · Oral Presentation

arXiv PDF Code

Projects

Gongshami.com Developed a responsive web app using SvelteKit and Next.js for the frontend, with SupaBase and SQLite for real-time data storage and user authentication. Implemented custom AI personalities and social reactions via OpenAI API, deployed using Docker containers. Full-Stack / AI Chatbot Preference Prediction Built a pipeline comparing LightGBM, CNN, BERT, and Gemma to predict user preferences from 57K samples; processed large-scale data using Pandas and NumPy. Conducted feature engineering and model training within a TensorFlow/PyTorch environment to achieve high prediction accuracy. Deep Learning Breast Cancer Prediction Developed a diagnostic classifier using PCA dimensionality reduction and scikit-learn's Grid Search CV to optimize 7 ML models (SVM, Random Forest, etc.). Visualized model performance (ROC-AUC) and feature importance using Matplotlib and Pandas. Machine Learning Image Enhancement Pipeline Built a 3-stage pipeline for pet photography using MATLAB and OpenCV (Python) for CLAHE contrast enhancement, unsharp masking, and distance-based background blur. Evaluated image quality using SSIM, PSNR, and edge strength metrics. Image Processing Travel Route Planner Implemented TSP optimization using C++, comparing Greedy O(n²), Divide & Conquer O(nlogn), and Dynamic Programming O(n²2ⁿ) across 18 European cities. Analyzed algorithmic efficiency for multi-modal transport analysis. Algorithms

Education

Master of Science in Computer Science

Jan 2024 – Dec 2025

Southern Illinois University Edwardsville

Coursework: Algorithms, Machine Learning, Deep Learning, Artificial Intelligence, Digital Image Processing

Bachelor of Science in Marine Technology

Sep 2015 – Jun 2019

Xiamen University

Coursework: Fundamental Computer Application, C Programming

High School Diploma, Science

Sep 2012 – Jun 2015

Xiamen Shuangshi Middle School