I’m 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.
- Languages: Python, Rust, C/C++, Go, JavaScript, TypeScript, Bash
- Frameworks/Technologies: React, Flask, FastAPI
- Databases/Storage: PostgreSQL, MySQL, Redis
- Tools/Systems: Linux/RHEL, Kubernetes, JIRA, Git, REST, GDB
- DevOps: Docker, PyTest, GoogleTest, GitHub Actions, GitLab CI/CD
- Helios: Helios is a from-scratch operating system project that will incrementally evolve a remote operated Linux-hosted object storage daemon into a custom kernel–backed system through a portable system call abstraction layer (helios-sci).
- Eaql: EAQL (English Augmented Query Language) is a simplified, English-like query language designed as natural-language alternative to SQL. Build with a custom recursive-descent parser and transpilation engine, making it ideal for educational use.
- 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.
- PredEmotions: Neural network for emotion-specific sentiment classification.
- Scalpddit: Reddit content monitoring tool for new posts matching specified criteria.
