MdSaif
Ali
I'm a |
B.Tech CSE (AI & ML) student with strong hands-on experience in Python, machine learning, computer vision, data analysis, and web application development.
Building the future with AI
A passionate AI/ML engineer turning data into intelligent solutions
AI/ML Engineer & Researcher
B.Tech CSE (AI & ML) student with strong hands-on experience in Python, machine learning, computer vision, data analysis, and web application development.
Skilled in building end-to-end ML pipelines, predictive models, explainable AI solutions, and real-time biometric systems. Seeking software and AI/ML roles to apply technical expertise to practical, impactful solutions.
My Expertise
A curated overview of the technologies I work with daily
Programming & Machine Learning
Data, Frameworks & Databases
My Journey
Education, experience, and certifications that shaped my path
B.Tech CSE (AI & ML) student with strong hands-on experience in Python, machine learning, computer vision, data analysis, and web application development. Skilled in building end-to-end ML pipelines, predictive models, explainable AI solutions, and real-time biometric systems. Seeking software and AI/ML roles to apply technical expertise to practical, impactful solutions.
Experience
Machine Learning Intern
NIELIT Patna, Bihar · Patna, Bihar
- ›Worked on practical machine learning tasks using Python and standard data science workflows
- ›Performed data preprocessing, analysis, feature preparation, model training, and evaluation using Python ML tools
Education
B.Tech in Computer Science Engineering (AI & ML)
Maharishi Markandeshwar Deemed To Be University (MM(DU)), Mullana, Ambala · CGPA: 7.60 | Specialization in AI & ML
12th Science
Atal Bihari Singh +2 High School, Bhabhua, Kaimur, Bihar · 1st Division
Certifications
Featured Projects
AI and ML projects that demonstrate real-world problem solving
Developed an ML model to predict heart disease risk from clinical and health parameters. Built an end-to-end pipeline covering preprocessing, feature scaling, correlation analysis, model training, and evaluation with explainability via SHAP. Deployed a user-friendly web application with visual risk interpretation dashboards.
Designed a biometric liveness classifier to detect spoofing through image, video, and mask-based attacks. Implemented CNN-based feature extraction with motion analysis, blink detection, and depth/texture analysis. Achieved real-time performance and significantly reduced spoof acceptance probability.
Let's Talk
Open for internships, collaborations, research projects, and conversations
Get in Touch
Whether you have an opportunity, a project idea, or just want to connect — I'm always open to hearing from you.
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