Mohammed Ali

AI/ML Engineer

• Job Details:Built GAN-based models to create synthetic data, improving training efficiency and boosting model performance by 20%. Spearheaded implementation of MLOps using Weights & Biases and GitLab CI/CD, reducing model iteration cycle time by 30%. Delivered data-driven solutions in the healthcare domain, contributing to better health outcomes over 3+ years. Collaborated with data scientists and healthcare experts to curate and preprocess multimodal datasets tailored to clinical applications. Developed optimized data mining algorithms to derive insights from large-scale structured and unstructured datasets using cutting-edge data science techniques.

Electrical Engineer

• Job Details:Reduced billing cycle from 1 week to 24 hours by automating processes using PostgreSQL, stored procedures, and SQL functions. Engineered energy-efficient electrical systems for a 50-story commercial building, reducing costs by 20%. Applied SQL and data analysis techniques to monitor and improve data flows in large-scale electrical infrastructure projects.

Associate ML Engineer

• Job Details:Implemented advanced forecasting models including XGBoost, LightGBM, and CatBoost for time series prediction, outperforming classical models by up to 20% in RMSE. Developed LSTM and GRU-based recurrent neural networks for multivariate time series forecasting using TensorFlow and PyTorch.