
Analytical Computer Information Technology graduate with expertise in software development, applied machine learning, and network security. Developed end-to-end solutions, including a deepfake forensics pipeline and secure messaging software. Demonstrates strong technical communication skills and a rapid ability to learn and implement new tools to address complex challenges.
Tools & Platforms: Git, GitHub, Kali Linux, Command Line / Terminal, Google Colab, Jupyter Notebook, VMware, Wireshark, Cisco Packet Tracer, Eclipse, NetBeans, MySQL, Weka, Microsoft Office (Excel, Word, PowerPoint)
Software & Systems: Object-Oriented Design, Data Structures, Algorithms, Parsing, Compilers, File I/O, Multithreading, CLI-Based Development
Machine Learning & Data: PyTorch, Transfer Learning, Fine-Tuning, Deep Learning Pipelines, Data Preprocessing, Augmentation, Computer Vision, Frequency-Domain Analysis, Model Evaluation, Performance Analysis
Programming: Python, Java, SQL, Bash, Assembly (x86 / MIPS)
Security & Networking: Digital Forensics, Secure Messaging, Threat Modeling, Network Fundamentals, Network Security, Risk Assessment, TCP/IP, IPv4 / IPv6, Routing and Switching Fundamentals, Network Troubleshooting, Packet Analysis
Cloud & Infrastructure: Google Cloud Fundamentals, Azure Fundamentals, Virtual Machines, Linux Environments, Client-Server Architecture, API Integration, CI / CD Concepts, GitHub Actions
Applied Machine Learning System — Digital Media Integrity
Contributor · Python, PyTorch, Computer Vision
Computer Security Project — Secure Messaging System
Contributor · Secure Systems, Threat Modeling
Java Compiler / Parser System
Individual Project, Java
Low-Level Systems Programming Project
Assembly Language (x86 / MIPS)