I craft intelligent digital solutions by combining AI, code, and creativity—driven by a passion for innovation and real-world impact.
I'm a passionate AI engineer with experience building intelligent applications using machine learning and deep learning. My journey in tech started with a strong foundation in developing AI and ML models that solve real-world problems.
Certified as an AWS AI Practitioner, I specialize in delivering end-to-end AI solutions across web and cloud environments. I've worked with various techniques to create intelligent, efficient, and scalable applications that enhance user experiences.
When I'm not coding, you can find me exploring new technologies, contributing to open-source projects, and staying up-to-date with the latest industry trends in AI and machine learning.
GAN architectures for generating medical images, focusing on brain tumor MRI scans.
ML models for phishing detection comparing Logistic Regression, KNN, and SVC.
Web-based speech-to-text system enhanced with Word2Vec semantic vectors.
Isolation Forest and Deep Learning for detecting network traffic anomalies.
Collection of supervised & unsupervised ML models for various tasks.
Founder of MedGAN, an AI startup specializing in generative models and intelligent solutions for different industries
Developed entrepreneurial skills through practical training in building startups—covering idea validation, product development, market research, and team leadership.
Developed AI solutions for real-world applications, leveraging Python, machine learning, and deep learning frameworks.
Completed training in 3D modeling and robotic design, focusing on practical applications and prototyping.
Open to new opportunities and collaborations