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Schedule Interview NowMy name is M Saqib K. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Deep Learning, Natural Language Processing, Data Science, Python, etc.. I hold a degree in Bachelor of Science (BS), Doctor of Philosophy (PhD), Master of Science (MS). Some of the notable projects I've worked on include: Context Aware Real Time Vehicle Detection, Tracking & Flow Metrics, Word Cloud Creation, Generate Art using Neural Style Transfer, Dry Bean Classification, Cardiovascular Disorder Predictions. I am based in Lahore, Pakistan. I've successfully completed 5 projects while developing at Softaims.
I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.
I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.
My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.
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Aleph Solutions
We engineered a real time Context Aware Traffic Analytics system that transforms any standard CCTV stream into live, actionable insights. Leveraging a custom trained YOLOv8 detector and DeepSORT track
The "bag of words" approach in Natural Language Processing (NLP) analyzes text by focusing on the occurrence of individual words, without considering their order or grammar. Imagine a bag filled with
This project develops a program that utilizes Neural Style Transfer (NST) to create unique and artistic images. In this project, we: o implemented a Neural Style Transfer algorithm using a deep lear
Machine learning algorithms hold significant potential for the agricultural sector. This report explores how unsupervised learning, particularly clustering algorithms, can be applied to a dataset of g
Heart disease diagnosis and prediction remain a significant challenge in healthcare, often relying on physical examinations and patient symptoms. As a leading cause of mortality globally, early detect
Bachelor of Science (BS) in Economics, Mathematics, Finance
2004-01-01-2009-01-01
Doctor of Philosophy (PhD) in Mathematics, Dynamical Systems
2019-01-01-2023-01-01
Master of Science (MS) in Mathematics, Cryptography
2010-01-01-2012-01-01