Professional profile

Resume

Aspiring machine learning engineer focused on practical modeling, algorithms, and reliable software systems.

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Profile

I build practical machine learning and software projects with an emphasis on data preparation, feature engineering, model evaluation, clean Python and C++ implementation, and reproducible engineering workflows.

Core skills

Machine Learning

Scikit-learn, Pandas, NumPy, model validation, ensemble methods

Programming

Python, C++, data structures, algorithms, problem solving

Engineering

Git, GitHub, Linux, Docker fundamentals, API and backend design

Selected projects

Backend · API Design

System Design Portfolio

Three local-first prototypes covering QR generation, knowledge retrieval, and task scheduling.

Computer Science · C++

Data Structures & Algorithms

Structured implementations covering trees, graphs, dynamic programming, and string matching.

Embedded · IoT

ESP8266 Distance System

Ultrasonic measurement with filtering, buzzer feedback, and a Wi-Fi display.

Current development

End-to-end ML pipelines, regression and ensemble modeling, cross-validation, error analysis, C++ algorithms, Docker, Linux, and deployment fundamentals.