About
Computer Science undergraduate with hands-on experience building Python-based ML and NLP systems — including information-extraction pipelines, similarity-based candidate matching, and supervised classification models. Comfortable across the ML lifecycle (preprocessing, feature engineering, training/evaluation) and backend/API development (Flask, REST) to ship models as usable products. Strong fundamentals in algorithms, OOP, and testing; quick to learn new modeling techniques.
Skills & Expertise (35)
Work Experience
Artificial Intelligence Intern
Edunet Foundation — AICTE Virtual Internship
Jan 2025 - Mar 2025
Built an AI-powered medical diagnosis system that extracted structured signals from patient symptom data and generated disease predictions with 85%+ classification accuracy using supervised machine learning models. Engineered end-to-end ML pipelines — data preprocessing, feature extraction, model training, and evaluation — reducing manual diagnostic analysis time by 30%. Designed an intuitive web interface enabling healthcare professionals to input patient data and interpret model predictions, improving workflow efficiency for a team of 10+ clinicians.
Education
Bachelor of Technology (B.Tech.) in Computer Science Engineering - Malla Reddy College of Engineering and Technology
2022 - 2026 · Afghanistan
Certifications
Introduction to Databases
NxtWave CCBP 4.0 · 2026
Build Your Own Static Website
NxtWave CCBP 4.0 · 2026
Cisco CCNA: Introduction to Networks
Cisco · 2024
Software IoT Certification
IEEE · 2024
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Skills (35)
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