الصارم خان

• Developed production-ready software modules for a real-time Traffic Sign Recognition System in Python using
YOLOv8 and OpenCV.
• Engineered end-to-end ML pipelines covering data ingestion, preprocessing, training, evaluation, and
performance optimization.
• Debugged and tuned model performance by adjusting confidence thresholds and post-processing filters,
improving detection reliability.
• Wrote clean, well-documented code and maintained structured test logs and performance reports for team
review.

• Built a Car Price Prediction application in Python designed the full software pipeline from data preprocessing to
model deployment.
• Developed a Hybrid Autocorrect Keyboard with real-time NLP-based text suggestions, writing the core
suggestion logic from scratch.
• Wrote reusable, modular Python code for data preprocessing, encoding, feature selection, and model
evaluation.
• Tested and iterated on model performance, applying debugging and optimization techniques to improve
accuracy.

• Built multiple responsive web applications from scratch using HTML, CSS, and JavaScript including a Personal
Expense Tracker and a To-Do List app.
• Implemented local storage for persistent data management and developed dynamic UI features with real-time
updates and form validation.
• Delivered projects within deadlines, writing clean, structured, and maintainable code throughout.