Muhammad Haroon Memon
@muhammadharoonmemon
Results-oriented Machine Learning Engineer with proven experience in AI solutions.
PakistanWhat I'm looking for
I am a results-oriented Machine Learning Engineer with a strong background in designing and deploying scalable machine learning models and data pipelines. My expertise lies in Python, TensorFlow, and AWS, which I leverage to build production-grade AI solutions that deliver measurable business impact. I have a proven track record of automating workflows to enhance productivity and reduce costs, making significant contributions to my team's success.
In my current role at Intelliifyx, I have successfully built and deployed predictive machine learning models that increased client engagement by 20%. I automated data preprocessing pipelines, reducing preparation time by 40%, and improved model accuracy by 15% through advanced feature engineering and hyperparameter tuning. My experience also includes developing RESTful APIs for real-time predictive insights, enabling critical business decisions.
Experience
Work history, roles, and key accomplishments
Machine Learning Engineer
Intelliifyx.com
Mar 2023 - Present (3 years 3 months)
Results-oriented Machine Learning Engineer with proven experience in designing and deploying scalable machine learning models and data pipelines. Increased client engagement by 20% through predictive models and reduced data preparation time by 40% with automated pipelines.
Data Science Intern
XYZ Solutions
Jul 2022 - Aug 2022 (1 month)
Created a BERT-based NLP sentiment analysis model achieving 92% accuracy. Improved data input quality by 30% and delivered insights using Power BI and Matplotlib to support strategic decision-making.
Education
Degrees, certifications, and relevant coursework
Iqra University
Bachelor of Science, Artificial Intelligence
2020 - 2024
Pursuing a Bachelor of Science in Artificial Intelligence with relevant coursework in Machine Learning, Deep Learning, Natural Language Processing, Big Data Analytics, and Cloud Computing. Developed a time-series prediction model using Python and TensorFlow as a capstone project, improving forecasting accuracy by 10%.
Tech stack
Software and tools used professionally
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