AI/ML Engineer Β· Python Developer Β· Learning C++ Β· Web Interfaces with HTML/CSS
Building practical AI/ML & CV tools in Python, deepening C++, and crafting intuitive web interfaces.
- Building practical AI/ML & Computer Vision tools (Python)
- Currently deepening C++ for performance-critical programming
- Comfortable with HTML/CSS for web interfaces
- Focused on clean code, reproducible experiments, and clear documentation
- Open to collaboration on applied ML, CV utilities, and analytics dashboards
πΎ Finance Parser(CLI Tool)
Command-line tool to extract structured transaction data from bank statement PDFs. Converts messy PDF exports into clean CSV/JSON for easy tracking and analysis.
Stack: Python Β· pdfplumber Β· pandas Β· camelot
Scope: PDF parsing, transaction normalization, CSV/JSON export, CLI packaging
π Bubble-sheet Evaluator(OpenCV, offline)
Automatically evaluates MCQ answer sheets with CV. Detects QR codes, reads filled bubbles, and exports CSV + annotated images.
Stack: Python Β· OpenCV Β· NumPy
Scope: QR detection, contour-based bubble detection, CSV results, annotated output
π‘οΈ Credit Card Fraud Detection(XGBoost)
Fraud detection with real-world anonymized data: preprocessing, model training, metrics, and saved models.
Stack: Python Β· XGBoost Β· scikit-learn Β· pandas
Scope: Imbalance handling, evaluation (ROC-AUC, PR), model persistence
- π Building the Money Tracker MVP β categories, charts, CSV import/export
- π Advancing in C++ β performance-critical & systems-level programming
- π οΈ Improving proficiency in Git, GitHub, VS Code, Jupyter, and related dev tools
π¬ Always open to feedback, meaningful discussions, and collaboration opportunities
