Open to opportunities

Dawood Khan

@dawoodkhan

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Machine Learning Engineer with hands-on experience in Python and ML.

Pakistan

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What I'm looking for

I am looking for remote opportunities to contribute to impactful AI projects while growing my skillset.

I am a Machine Learning Engineer with a strong foundation in Python, machine learning, and deep learning. Currently pursuing a BS in Data Science, I have hands-on experience in building AI agents and predictive models, working with real-world datasets, and developing scalable ML pipelines. My passion lies in exploring LLMs and MLOps, and I am eager to contribute to impactful AI projects.

Throughout my academic journey, I have successfully completed various projects, including brand scoring AI agents, house price prediction models, and heart disease classification systems. These experiences have honed my skills in data preprocessing, model evaluation, and feature engineering, allowing me to improve model performance significantly. I thrive in collaborative environments and enjoy tackling real-world challenges through innovative solutions.

Experience

Work history, roles, and key accomplishments

House Price Prediction

Self Employed

Scraped real estate data from Zameen.com and developed a regression model to predict house prices. Focused on data cleaning, feature engineering, and enhancing model performance using Decision Trees.

Web Scraping Regression Models Data Cleaning Decision Trees

Heart Disease Prediction

Self Employed

Created a classification model to predict heart disease, utilizing various evaluation metrics to assess model performance. Applied precision, recall, and F1-score to validate the model's accuracy.

Classification Recall F1 Score

AI Agents for Brand Scoring

Self Employed

Developed intelligent AI agents using CrewAI for brand compatibility scoring, designing collaborative roles such as researcher, scorer, and coach. Gained practical experience in prompt design, agent architecture, and justification logic through this project.

Crew AI Agentic AI Agent Architectures Justification Logic

Kaggle Bulldozer Price Prediction

Kaggle

Cleaned and preprocessed bulldozer auction data to build regression models for predicting sale prices. Improved model accuracy through extensive feature engineering and hyperparameter tuning.

Regression Models Hyperparameter Tuning Data Cleaning

Kaggle Neo Bank Competition

Kaggle

Managed and processed a large dataset of 77 million rows, focusing on efficient data handling techniques. Developed scalable machine learning pipelines for large-scale prediction tasks.

Machine Learning Pipelines Data Management

Softec 2025 ML Competition

Softec

Participated in a competitive machine learning challenge involving a dataset with over 130,000 rows. Successfully implemented a full data pipeline for real-world prediction tasks.

Machine Learning Data Pipelines Real World Prediction Data Processing Competitive Analysis

Education

Degrees, certifications, and relevant coursework

Riphah International University

BS in Data Science, Data Science

Currently pursuing a Bachelor of Science in Data Science with an expected graduation in 2028. Focused on gaining expertise in machine learning, deep learning, LLMs, MLOps, and agentic workflows.