
Asad A
Your Trusted AI and Machine Learning Partner
Competenze

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Portfolio
Esperienza lavorativa
AI Engineer
Fiverr • Freelance
Dec 2024 - Present • 1 yr 8 mos
Worked as a Freelance Machine Learning Engineer on Fiverr for over 2 years, delivering customized AI and machine learning solutions for clients across various industries. Designed, developed, and deployed end-to-end machine learning applications by performing data preprocessing, exploratory data analysis (EDA), feature engineering, model training, evaluation, and hyperparameter tuning. Built regression, classification, and clustering models using Python, Scikit-learn, XGBoost, CatBoost, and PyTorch, and developed interactive applications with Streamlit while deploying machine learning models using FastAPI. Successfully completed projects including a California House Price Prediction system using XGBoost, a Customer Segmentation application using K-Means clustering, a Freight Rate Estimator using CatBoost Regressor, and an AI Background Removal System powered by the BiRefNet deep learning model with optimized image preprocessing and postprocessing. Utilized Pandas, NumPy, OpenCV, Git, and Docker to build scalable, maintainable, and production-ready machine learning solutions while collaborating with clients to understand requirements and deliver high-quality results within project deadlines.
Machine Learning Engineer
Spotter • Full time
Dec 2023 - Nov 2024 • 11 mos
Worked as a Machine Learning Engineer at Spotter, where I designed, developed, and deployed end-to-end AI and machine learning solutions to solve real-world business problems. Collaborated with cross-functional teams to analyze requirements, preprocess data, engineer features, and build predictive models using Python and modern machine learning frameworks. Developed regression, classification, and clustering models, optimized model performance through hyperparameter tuning, and evaluated results using industry-standard metrics. Built interactive applications with Streamlit and developed FastAPI for model inference. Utilized Git for version control and followed best practices for code quality, testing, and documentation. Contributed to the development of production-ready AI solutions by integrating machine learning models into scalable applications while continuously improving model accuracy and performance.