Dedicated to mastering Low-Level Mechanics, Systems Engineering, and Automated Media Pipelines. My focus lies in bridging the gap between Algorithmic Efficiency and Scalable Application Design.
- Systems Programming: C (Manual Memory Management, Pointer Arithmetic, Data Structures).
- Application Logic: Python 3.x (Advanced Scripting, Context Managers, Decorators), TypeScript.
- Data Persistence: SQL (SQLite, PostgreSQL), Schema Design, Query Optimization.
- Web Architecture: Node.js, React, Flask (RESTful API Design).
- Digital Signal Processing: Automated Audio Thresholding, Frequency Analysis (SNR Calculation).
- Video Orchestration:FFmpeg (Complex Filtergraphs, Codec Optimization, Hardware Acceleration).
- AI Integration: Speech-to-Text (STT) Pipelines, Natural Language Processing (NLP) for signal segmentation.
- OS: Linux Power User (Pop!_OS), Shell Scripting (Bash/Zsh), Terminal-Centric Workflows.
- Version Control: Git (Branching Strategies, Rebase Workflows).
Technical Objective: Eliminate manual editing latency through algorithmic audio analysis and automated frame extraction.
- Algorithmic Logic: Implemented a signal-to-noise ratio (SNR) analysis to detect and isolate "dead air" intervals within raw media streams.
- Pipeline Engineering: Developed a multi-stage workflow leveraging Audio Extraction, VAD (Voice Activity Detection), and FFmpeg Concatenation.
- Optimization: Utilized non-linear editing (NLE) logic to allow for manual fine-tuning, maintaining state between automated processing and user adjustments.
Technical Objective: Solve the Condorcet Paradox using graph theory.
- Logic: Developed a Recursion-based Cycle Detection algorithm in C.
- Complexity: Managed Adjacency Matrix representations to ensure the "strength of victory" is prioritized without creating locked loops in a directed graph.
Technical Objective: Pattern recognition and anomaly detection within data streams.
- Focus: Optimized Time Complexity for real-time analysis of large input sets to identify logical inconsistencies.
- HarvardX CS50x: Introduction to Computer Science (Memory, Algorithms, Web Security).
- Email:najeh.mgeead@gmail.com
- GitHub:rETelect
- Phone: 911