About
Information Science & Engineering graduate with hands-on experience in data analysis, machine learning, deep learning, model development, and validation. Built explainable AI solutions for classification and segmentation across satellite imagery, medical imaging, and financial communications, translating real-world problems into practical, validated solutions. Led a final-year research project accepted for presentation at an international conference, with a strong foundation in analytical problem-solving and practical AI/ML development.
Skills & Expertise (24)
Work Experience
VR Product Developer Intern
BodyClone Innovations Pvt. Ltd.
Jan 2026 - Feb 2026
Analyzed large volumes of multispectral satellite imagery data to derive actionable insights, planning and executing the full model development lifecycle from experimentation through performance evaluation and optimization. Developed and built a predictive deep learning model for landslide segmentation by customizing the ConvNeXt-Tiny architecture with a U-Net-style decoder for 14-channel multispectral inputs. Applied transfer learning and the Aquila Optimizer for systematic hyperparameter optimization, improving model performance and generalization on unstructured, high-dimensional data. Achieved 98.81% segmentation accuracy, 79.60% Mean IoU, and 75.33% Dice/F1 Score, validating strong model reliability.
Education
Bachelor of Engineering — Information Science & Engineering - Nitte Meenakshi Institute of Technology
2022 - 2026 · Afghanistan
Pre-University — Physics, Chemistry, Mathematics, Biology (PCMB) - Saint John's Science PU College
2020 - 2022 · Afghanistan
Class X — Secondary School Education - Anmol Public School
2019 - 2020 · Afghanistan
Certifications
Python Fundamentals
Infosys Springboard
AWS Acamdemy Cloud foundation
AWS
Google Cloud Career Launchpad
Google Cloud
Generative AI by Google Cloud
L4G
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Skills (24)
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