Keming Xing
Master's Student in Electrical and Computer Engineering
Northeastern University, Boston, USA
Master's Student in Electrical and Computer Engineering
Northeastern University, Boston, USA
Hi! I'm Keming Xing, a master's student who is about to graduate from Northeastern University, majoring in Electrical and Computer Engineering (MSECE) with a focus on Computer Vision, Machine Learning, and Algorithms. I have strong stress tolerance and learning ability, and I have independently completed multiple end-to-end full-stack projects, possessing a strong exploratory and problem-solving mindset. While my professional work experience is still limited, I am eager to learn quickly and acquire the skills required for any role in the shortest possible time. This website serves as my personal academic portfolio showcasing my projects and learning journey.
Designed and built a production-ready full-stack enterprise attendance system with frontend–backend separation, supporting clock-in/out, approval workflows, and statistical reporting. Implemented a RESTful backend service using Fastify, TypeScript, and Prisma, featuring layered architecture, RBAC with JWT, and multi-organization data isolation. Designed and managed relational data models in MySQL, enabling auditable approval processes, role-based permissions, and scalable business rule configuration; deployed via Vercel and Render.
Built a production-ready web-based interactive dashboard using Python and Dash, enabling users to explore large-scale datasets through dynamic filters, real-time updates, and responsive visual components. Designed a modular backend architecture separating data loading, processing, aggregation, and API-style callback interfaces, efficiently querying preprocessed Parquet data and updating multiple views in real time.
Designed an end-to-end computer vision system with MediaPipe and Random Forest, achieving 92% real-time accuracy in posture detection. Optimized frame capture and processing pipeline, improving responsiveness by 35% and enabling instant corrective feedback.
I am currently seeking job opportunities and am available to start as early as a spring internship or from the summer. While I require work visa sponsorship, I am eligible to work for up to three years under CPT and OPT. I am currently based in the Boston area and am willing to relocate to any location, as well as open to remote work.
Location preference: Boston, California, Washington, New York, Massachusetts, and Silicon Valley area
Completed: July 2025
Completed three-course specialization covering supervised learning (linear regression, logistic regression, neural networks, decision trees), unsupervised learning (clustering, anomaly detection), recommender systems, and reinforcement learning. Gained practical skills in building machine learning models and applying ML techniques to real-world problems.
Python, C++, C#, Java, JavaScript, TypeScript, C
PyTorch, TensorFlow, Scikit-learn, Random Forest, SVM, VAE, GAN, VGG19, ResNet18, Transfer Learning, FID Evaluation
Vue.js 3, TypeScript, Element Plus, Pinia, Axios, Node.js, Fastify, Prisma ORM, MySQL, RESTful API, Zod, bcrypt, Vercel, Render
OpenCV, MediaPipe, Image Segmentation, Object Detection, Feature Extraction, Pattern Recognition, Otsu Thresholding, K-Means Clustering, Watershed Algorithm, Graph Theory, CUDA Acceleration
Pandas, NumPy, Data Collection & Cleaning, Statistical Analysis, PCA, Classification & Regression Models, SHAP Analysis, One-Hot Encoding, ROC Curve, Confusion Matrix, ETL Pipelines, Parquet, Plotly, Dash
System Architecture Design, API Design, Database Schema Design, JWT Authentication, RBAC, MVC Pattern, Multithreading, Git, Postman, Testing, Production Deployment
WeChat Mini Program, A/B Testing, User Research, Real-time Processing, Performance Optimization