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Schedule Interview NowMy name is NADEEM J. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Deep Learning, Computer Vision, Keras, Natural Language Processing, Python, etc.. I hold a degree in Master of Computer Science (MSCS), Doctor of Philosophy (PhD). Some of the notable projects I’ve worked on include: Automated Response Bot, Football Tracking System, Uses OpenAI for personalized treatment & recommendation system, Steel Surface Defect Classification, Deep Fake videos and images detection using deep learning techniques, etc.. I am based in Lahore, Pakistan. I've successfully completed 9 projects while developing at Softaims.
I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.
My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.
My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.
Main technologies
3 years
1 Year
1 Year
1 Year
Potentially possible
Systems Limited
The project involves developing an intelligent response bot designed to automate client communications by providing accurate product information from a merchant's catalog. This bot will integrate seamlessly with the client's system, continuously monitoring incoming messages to analyze and understand product-related inquiries through advanced natural language processing (NLP) techniques. By automating responses, businesses can enhance customer satisfaction, reduce response times, and allow human resources to focus on more complex tasks
Football Tracking System designed to detect, track, and analyze players, the ball, and referees across live match footage using advanced computer vision and deep learning techniques. The system is optimized for high-speed and occlusions.
This project employs OpenAI's advanced machine learning algorithms to create a two-phase strategy for personalized treatment, achieving significant accuracy in chemotherapy models and a highly effective recommendation system for therapy selection.
The problem of detecting steel surface defects has grown in importance as a result of the vast range of steel applications in end-product sectors such as automobiles, households and construction etc. The results of our experiments show highest detection rate.The problem of detecting steel surface defects has grown in importance as a result of the vast range of steel applications in end-product sectors such as automobiles, households and construction etc. The results of our experiments show highest detection rate.
It’s become very easy, due to the escalation of the Artificial Intelligence and Machine Learning algorithm, without any technical expertise to generate fake pictures and videos known as DeepFake. In this project we will try to get significant result for detection such kind of fake videos and images
Master of Computer Science (MSCS) in
2013-01-01-2016-01-01
Doctor of Philosophy (PhD) in
2020-01-01-2025-01-01