Matthew Hambrecht
Full Stack Software Engineer ā¢ AI/ML ā¢ Systems Engineering
šØāš» About Me
Iām a passionate software engineer with experience in full-stack development, systems programming, and applied AI/ML. I enjoy building efficient, scalable solutions: from real-time agent frameworks to in-memory databases, and thrive at the intersection
of performance engineering and user experience.
š ļø Technical Skills
Languages: Python, C++, C, Rust, JavaScript, TypeScript, SQL, Bash
Frameworks/Technologies: React, React Native, Flask, FastAPI, jQuery
Databases/Storage: PostgreSQL, MySQL, Redis
Tools/Systems: Linux/RHEL, JIRA, Git, REST APIs, WebSockets
DevOps: Docker/Podman, Jenkins, PyTest, GoogleTest, GitHub Actions
š Public Portfolio
š§ Current Project
- Eaql: EAQL (English Augmented Query Language) is a simplified, English-like query language designed as natural-language alternative to SQL. It's built for learners, educators,
and tinkerers.
ā
Recent Projects
- Mailbox: A C library for interprocess communication (IPC) using POSIX shared memory and semaphores for lock-free, low-latency message passing.
- FaceSync: Real-time CCTV video analysis with facial recognition and object tracking, achieving sub-200ms alert times.
- Translite: Modular, multilingual translation tool for low-resource environments, using TF-IDF and Naive Bayes for language detection.
šļø Other Projects
- PredEmotions: Neural network for emotion-specific sentiment classification.
- Scalpddit: Reddit content monitoring tool for new posts matching specified criteria.
š Links
