About
Computer Science engineering student with hands-on experience building data quality, anomaly detection, and analytics pipelines alongside AI/ML applications. Skilled in Python, SQL, PostgreSQL, Pandas, Streamlit, Tableau, and Excel, with additional experience in PyTorch, YOLOv11, and LangChain. Built end-to-end pipelines processing 10,000+ records with automated QA checks and root-cause anomaly tracing. Detail-oriented, curious by default, and comfortable owning a problem from raw data to a reliable, reusable solution.
Skills & Expertise (18)
Work Experience
Engineering Intern
Droom Technology Pvt. Ltd.
Dec 2025 - Present
Performed data mining, cleaning, and preprocessing of 10,000+ data records; built reproducible preprocessing pipelines for reliable model training. Trained and optimized Ultralytics YOLOv11 computer vision models for vehicle detection and classification, achieving up to 99% accuracy. Used Roboflow for dataset annotation and quality checks, and tracked 50+ machine learning experiments using Git and GitHub to ensure reproducibility across 3+ AI projects.
Education
Bachelor of Technology in Computer Science and Engineering - Lovely Professional University
2022 - 2026 · Afghanistan
Certifications
Data Analysis with Tableau
Coursera · 2024
Excel Fundamentals for Data Analysis
Coursera · 2024
Software Engineering: Implementation and Testing
Coursera · 2024
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