About Me
The
Engineer
I'm an Electronics and Computer Engineering graduate who loves digging into the nuts and bolts of high-performance systems. Whether I’m architecting decentralized blockchain networks for vehicle safety or fine-tuning LiDAR localization algorithms to nearly halve positional drift, my goal is always the same: build software that is efficient, scalable, and actually solves a problem.
My technical foundation is built on C, Python, and AWS, but my approach is shaped by my experience leading student teams and publishing research.
Core Competencies
My technical arsenal focuses on robust back-end systems and emerging technologies.
Languages
- C
- Python
- SQL
Systems
- AWS Infrastructure
- Docker & Kubernetes
- Conda Environments
Focus Areas
- Blockchain Architecture
- Deep Learning (AI-Native PHY)
- Wireless Communication (MU-MIMO)
Selected Research
Algorithmic Controlled Deforestation
Developed an "Optimized Model for Ecological and Economic Outcomes," utilizing algorithmic approaches to manage deforestation sustainably while balancing economic needs.
Predictive Menstrual Health
Created a system for "Phase-Specific Dietary Guidance Through Predictive Modeling," analyzing menstrual phases to provide personalized health and dietary recommendations.