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Schedule Interview NowMy name is Khawaja H. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Deep Learning, Machine Learning, MATLAB, Python, Time Series Forecasting, etc.. I hold a degree in Master of Engineering (MEng), Bachelor of Engineering (BEng). Some of the notable projects I've worked on include: Railway Rolling Stock Prediction using Machine Learning, Crop Prediction using Machine Learning Techniques, Classification of Stroke using Deep Learning, Hand gesture Recognition using Deep Learning Toolbox, Prediction of Bridge rating using Deep Learning, etc.. I am based in Lahore, Pakistan. I've successfully completed 14 projects while developing at Softaims.
Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.
My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.
I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I'm motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.
Main technologies
4 years
2 Years
3 Years
2 Years
Potentially possible
Pakistan Telecommunication Company Ltd, Gulberg
The project involves analyzing railway rolling stock data to predict operational performance and maintenance needs. Key tasks include conducting EDA to uncover patterns, preprocessing data to handle m
Prediction of crops based on the soil information and weather data.
Comparison of different models for classification of stroke.
Hand gesture recognition using Deep learning Toolbox in MATLAB, collected the dataset for three gestures then applied ALEXNET for detection. The project can be used for helping of special people.
Detection of Cracks, Leaching and defects such as saplling , scaling and exposed reinforcement using deep learning techniques, then based on these detection prediction of bridge condition rating.
Master of Engineering (MEng) in
2021-01-01-2023-01-01
Bachelor of Engineering (BEng) in Electrical engineering
2017-01-01-2021-01-01