Empowering Innovation Through AI, and Machine Learning
As an AI/ML engineer, I turn data into powerful solutions. From predictive models to intelligent systems, I use advanced tools to help businesses unlock their full potential through intelligent technology.
Who is Zohaib Ali?
As an AI/ML engineer, I turn data into powerful solutions. From predictive models to intelligent systems, I use advanced tools to help businesses unlock their full potential through intelligent technology.
I’m currently pursuing a degree in Computer Science at Virtual University, where I’m building a strong foundation in cutting-edge technologies and problem-solving. My passion for artificial intelligence and machine learning has driven me to develop a deep understanding of how these technologies can transform real-world challenges into innovative solutions. Alongside my studies, I’m sharpening my skills in front-end development, combining technical expertise with creativity to deliver seamless user experiences.
In addition to my academic journey, I’m actively freelancing on platforms like Upwork and Freelancer, where I apply my AI, ML, and front-end skills to help clients bring their visions to life.
Zohaib's Tech Portfolio
Showcasing my expertise and achievements through real-world projects and hands-on experiences.
AI-Based Customer Support Chatbot
Developed an AI-powered chatbot to automate customer support for an e-commerce platform. The chatbot used natural language processing (NLP) to understand customer queries, provide relevant product information, assist with order tracking, and offer personalized product recommendations. Integrated it into the client’s website using front-end technologies for a seamless user experience.
Machine Learning-Powered Sales Forecasting Tool
Created a machine learning model that predicted future sales for a retail client based on historical data. The tool analyzed patterns in sales data, seasonality, and customer behavior to forecast demand with a high degree of accuracy. Built a user-friendly dashboard using front-end technologies for non-technical stakeholders to visualize trends and insights.
Image Classification for Object Detection
Built a computer vision model to classify objects in a dataset of everyday items (e.g., fruits, household objects). Using a pre-trained convolutional neural network (CNN), the model accurately identified objects in images with a high degree of accuracy. I implemented a simple web interface where users could upload images, and the model would return the predicted object class along with the confidence level.
