Umair Ali

• Designed and deployed AI solutions, transitioning research models to production-ready, scalable environments.
• Architected and optimized Transformers, CNNs, and RNNs for NLP, Computer Vision, and Predictive Analytics.
• Led ML algorithm and AI technique selection to solve business challenges and enhance automated decision making.
• Built MLOps pipelines for CI/CD with rigorous model performance and data drift monitoring.
• Performed feature engineering and data preprocessing on large-scale structured/unstructured datasets to improve accuracy and robustness.
• Collaborated with cross-functional teams to integrate AI models into existing software ecosystems and cloud platforms (AWS, Azure, GCP).
• Conducted AI red-teaming and adversarial testing to ensure model security, ethical compliance, and reliability.
• Optimized model inference for high-performance and resource-constrained environments using quantization and pruning.
• Mentored junior engineers and implemented state-of-the-art frameworks from AI research.

• Managed the marketing analytics strategy, turning raw data into insights that increased customer acquisition by 15% and cut CAC by 10%.
• Architected and maintained a suite of automated Tableau dashboards and SQL reports, serving 50+ stakeholders, which reduced manual reporting time by 20 hours per week.
• Spearheaded the design and execution of A/B test frameworks for product features; analyzed results to provide data-driven recommendations that improved user retention by 5%.
• Developed and deployed predictive models using Python (Pandas, scikit-learn) to enable proactive customer retention strategies.
• Mentored junior analysts on SQL best practices, data visualization, and statistical testing, improving team productivity and report accuracy.
• Collaborated with engineering teams to define data requirements and ensure data quality and integrity in the companys data warehouse.