BIOGRAPHY
Architecting Intelligence & Resilient Systems
I am an AI researcher and software engineer currently pursuing my M.Sc. in Artificial Intelligence, with an academic foundation in B.Sc. Computer Engineering (2021 - 2024)., with an academic foundation in B.Sc. Computer Engineering (2021 - 2024).
My passion lies at the intersection of deep neural networks, high-throughput backend architecture, and low-latency hardware control. I specialize in designing scalable Python systems using FastAPI, training computer vision models with PyTorch, and developing cryptographic IoT controllers.
With a strong background in operating systems, networking protocols, and modern security patterns, I turn complex algorithmic challenges into robust, production-grade applications that perform reliably under pressure.
EXPERIENCE
Journey & Projects
Graduate Researcher in AI
Academic & Laboratory Research
Investigating convolutional neural networks, computer vision representations, and deep learning transfer workflows.
Backend & Systems Developer
Freelance & Technical Projects
Designing asynchronous RESTful microservices, HMAC cryptographic auth schemes, and robust database layers.
Hardware & IoT Systems Engineer
Embedded Architecture
Interfacing ESP8266/ESP32 microcontrollers with remote servers for real-time power state automation and telemetry.
EDUCATION
Academic Credentials
M.Sc. in Artificial Intelligence
Graduate School of Computer Engineering
Advanced machine learning, deep neural architectures, and computational algorithms.
B.Sc. in Computer Engineering
Faculty of Engineering
Computer systems architecture, operating systems, data structures, and computer networks.
