As a dedicated Machine Learning Engineer with a robust background in data science, deep learning, and artificial intelligence, I specialize in building and optimizing predictive models that drive real-world impact. With experience spanning both research and practical applications, I have developed expertise in advanced CNN architectures, data preprocessing, and model evaluation, utilizing cutting-edge frameworks like TensorFlow, PyTorch, and Keras.Currently, at PRISM Islamabad, I’m enhancing machine learning models through sophisticated ETL pipelines, transfer learning, and hyperparameter tuning. My work in image classification using pre-trained models like VGG, ResNet, and EfficientNet has significantly boosted model performance and training efficiency. I’ve also contributed to several high-impact research publications, showcasing innovative approaches to model development and fine-tuning strategies.As a former freelance Machine Learning Engineer on Upwork, I successfully completed over 60+ projects, where I honed my skills in data extraction, time series forecasting, data visualization, and model deployment. I’ve collaborated with cross-functional teams, developed dashboards for decision-making, and delivered business-driven AI solutions across various industries.With an MS in Electrical Engineering (CGPA 3.81/4) and certifications from IBM and Google in AI Engineering, Data Science, and Advanced Analytics, I stay committed to continuous learning and staying at the forefront of emerging technologies.I thrive in fast-paced environments that challenge my analytical and problem-solving skills, and I am eager to contribute to innovative projects that leverage the power of machine learning to solve complex problems.