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Schedule Interview NowMy name is Munifa A. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Python, Machine Learning Model, Assembly Language, OpenAI API, Flask, etc.. I hold a degree in Bachelor of Computer Science (BCompSc), Bachelor of Computer Science (BCompSc). Some of the notable projects I've worked on include: Snake in the Land, BUILD WIN, Pulmonary Fibrosis Progression Prediction, AI Chatbot for Mental Health, Machine Learning Model: Convolutional Neural Network (CNN). I am based in Murree, Pakistan. I've successfully completed 5 projects while developing at Softaims.
My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.
I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims' clients by reducing infrastructure costs and improving user satisfaction.
I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.
Main technologies
3 years
2 Years
2 Years
2 Years
Potentially possible
IBM Global Services
This project is a Snake game developed using SFML in C++, featuring a main menu, gameplay with increasing difficulty, and a game-over screen. The snake collects apples to grow and earn points, while a
The project is a simple 2D game developed using SFML (Simple and Fast Multimedia Library) in C++. The game involves swinging and dropping blocks to build a tower. The player controls a block that swin
Developed a machine learning model to predict the progression of pulmonary fibrosis using patient data, such as lung function metrics and clinical features. The model applied regression techniques to
Developed a machine learning-powered chatbot aimed at providing mental health support. The system uses natural language processing (NLP) to interpret user inputs and offer empathetic responses, includ
Developed a convolutional neural network (CNN) to classify images of various animal species into predefined categories. The model was trained using a labeled dataset consisting of animal images, utili
Bachelor of Computer Science (BCompSc) in
2019-01-01-2023-01-01
Bachelor of Computer Science (BCompSc) in