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Abdul UserAU
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Abdul User

@abduluser9

Machine learning engineer and software developer building production-ready MLOps, AI web apps, and computer vision systems.

India
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What I'm looking for

I want to grow as an ML engineer, building reproducible and production-grade MLOps pipelines and AI-powered products, while working with strong engineering practices like CI/CD, clean APIs, and measurable model performance.

I’m an AI/ML engineering student who has built and evaluated supervised learning models during an ML internship, working with Logistic Regression, Decision Trees, and Random Forest classifiers and regression models. I focus on feature engineering, normalization, and EDA to improve performance, and I communicate results using confusion matrices, ROC curves, and learning curves.

My portfolio reflects my engineering ethos: reproducible workflows that can be deployed. I’ve built an MLflow end-to-end MLOps pipeline with Docker and GitHub Actions, a full-stack certificate verification SaaS using OCR and AI validation logic, and an AI Interview Analyzer that generates code-based questions using NLP and the GitHub API; I also create real-time computer vision systems with OpenCV and MediaPipe and ship end-to-end experiences with FastAPI, React, and Firebase.

Experience

Work history, roles, and key accomplishments

IS

Machine Learning Intern

Internship Studio

Mar 2026 - Jun 2026 (3 months)

Built and evaluated supervised learning models including logistic regression, decision trees, random forest classifiers, and regression models on real-world structured datasets. Performed feature engineering, normalization, and EDA using NumPy and Pandas, and communicated results using Matplotlib and Seaborn visualizations.

Education

Degrees, certifications, and relevant coursework

T John Institute of Technology logoTT

T John Institute of Technology

Bachelor of Engineering, Artificial Intelligence & Machine Learning

2024 -

Grade: CGPA 8.7 / 10

Pursuing a B.E. in Artificial Intelligence & Machine Learning at T John Institute of Technology (2024–2028, expected), with CGPA 8.7/10.

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