Software Developer & AI Engineer with a strong focus on Machine Learning, Computer Vision, and Cybersecurity-related systems.
I enjoy building end-to-end ML pipelines — from data preprocessing and feature engineering to model evaluation and real-time prediction.
Currently working on projects involving image processing, CNN-based models, and ML-driven applications, and creating structured learning guides for students and self-learners.
- Machine Learning & Deep Learning
- Computer Vision & Image Processing
- Model Training & Evaluation (CNN, SVM, Hybrid CNN–SVM)
- Web-based deployment of ML systems
- ML-based Security Systems (SQL Injection Detection, Cybersecurity Foundations)
I also create beginner-to-intermediate guides and roadmaps to help students and self-learners understand AI, Machine Learning, and Computer Vision through structured learning paths and real projects.
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📘 AI / Machine Learning Roadmap
Beginner → Intermediate visual roadmap with Computer Vision focus
👉 https://github.com/ares-coding/ai-ml-roadmap -
🖼 OpenCV Face Preprocessing Guide
Practical preprocessing steps for ML & CV projects
👉 https://github.com/ares-coding/opencv-face-preprocessing -
🛡️ Cybersecurity Roadmap (2026)
Structured beginner-to-advanced cybersecurity roadmap with curated resources, tools, and hands-on labs.
https://github.com/ares-coding/cybersecurity-roadmap-2026
🛠️ Tech Stack
🚀 Featured Project
🍺 Detecting Alcohol Intoxication Using Image Processing A machine learning–based system that classifies facial images as drunk or normal.
Highlights:
- Image preprocessing and facial feature extraction using OpenCV
- CNN model for deep feature learning
- SVM classifier for decision boundaries
- Hybrid CNN–SVM approach for improved accuracy
- Trained and evaluated using Python in Google Colab
Tech Used:
Python · OpenCV · CNN · SVM · Scikit-learn · TensorFlow · NumPy · Pandas
🛡️ ML-Based SQL Injection Attack Detection
• Feature-engineered SQL queries classified using SVM
• Includes preprocessing, evaluation, and real-time prediction
🛡️ Cybersecurity Roadmap (2026)
A curated learning path covering fundamentals, networking, red team, blue team, tools, and certifications.
- 📧 Email: [email protected]
“Build systems that solve real problems — not just models that look good on paper.”