Engineering practical solutions across cybersecurity, network analysis, embedded systems, and AI-powered computer vision.
- π‘οΈ Cybersecurity & Network Analysis: Passionate about ethical hacking, defensive security, protocol inspection, and network traffic triage.
- π Python Security Automation: Develop custom tooling for packet analysis, forensic indicator extraction, and automated report generation.
- β‘ Embedded Systems & IoT: Build hardware-software prototypes integrating microcontrollers (ESP32, Arduino, Raspberry Pi) and sensors.
- ποΈ Computer Vision & Edge AI: Explore real-time object detection, hand landmark tracking (OpenCV, MediaPipe), and edge deployment.
- π οΈ Engineering Mindset: Focused on building practical prototypes, writing clean code, and documenting technical workflows.
- π Continuous Learning: Always researching emerging threat vectors, networking protocols, and modern embedded tech stacks.
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π Network-TriageA Python-based network traffic triage project using Wireshark and packet analysis to investigate network activity and generate structured PDF reports. |
A lightweight Python tool that analyzes |
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Real-time American Sign Language (ASL) recognition system utilizing computer vision with OpenCV and MediaPipe to detect hand landmarks and translate gestures live. |
β‘ IoTA collection of IoT experiments and embedded-system implementations integrating sensors, microcontroller hardware, and firmware logic. |
π¨ My-TricksterA web development project demonstrating frontend implementation, responsive layout composition, and interactive CSS styling. |
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βΉοΈ Note: External statistics cards dynamically fetch data via GitHub's public API. If third-party service limits or network delays occur, stats cards may take a few moments to render.
- π‘οΈ Network Security & Threat Detection: Investigating network anomalies, traffic triage, and protocol analysis.
- π Python Security Automation: Crafting automated utilities to analyze forensic artifacts and detect threat indicators.
- ποΈ Embedded Computer Vision: Deploying real-time vision pipelines onto resource-constrained embedded systems.
- β‘ Edge AI & IoT Deployment: Interfacing microcontrollers and edge processors with sensory hardware and telemetry streams.
- π Practical Engineering: Delivering well-architected, documented prototypes and contributing to open-source tools.
Interested in collaborating on cybersecurity tools, embedded prototypes, or computer vision projects? Feel free to connect or open an issue on any of my repositories!