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 β 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 CNNβSVM)
- 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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π AI / Machine Learning Roadmap
Beginner β Intermediate visual roadmap with Computer Vision focus
π https://github.com/ares-coding/ai-ml-roadmap -
πΌ OpenCV Face Preprocessing Guide
Practical preprocessing steps for ML & CV projects
π https://github.com/ares-coding/opencv-face-preprocessing -
π‘οΈ 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
πΊ Detecting Alcohol Intoxication Using Image Processing
An AI-based facial image analysis system that compares CNN, SVM, and Hybrid CNNβSVM models to classify intoxicated vs normal facial states.
Tech Stack:
Python Β· OpenCV Β· CNN Β· SVM Β· Gradio Β· Hugging Face Spaces
π Live Demo:
π https://huggingface.co/spaces/ares-coding/alcohol-intoxication-demo
π» Source Code:
π https://github.com/ares-coding/detecting-alcohol-intoxication-using-image-processing
Deployed an interactive Gradio demo showcasing the end-to-end ML workflow: image input β inference β prediction visualization.
π‘οΈ ML-Based SQL Injection Attack Detection
β’ Feature-engineered SQL queries classified using SVM
β’ Includes preprocessing, evaluation, and real-time prediction
π‘οΈ Cybersecurity Roadmap (2026)
A curated learning path covering fundamentals, networking, red team, blue team, tools, and certifications.
##GitHub Stats
β’ Built an AI-based facial image analysis system achieving accurate intoxication classification using CNN, SVM, and hybrid models.