Shams Syed

Machine Learning Engineer @Genworth

TX, US

Collaborated with cross-functional teams to plan and execute machine learning projects under Agile/Scrum methodology, supporting sprint planning, daily standups, and retrospectives to improve delivery efficiency 10%.• Contributed to end-to-end development of machine learning models using TensorFlow and PyTorch, optimizing algorithms and data workflows to boost model efficiency by 20%.• Implemented text generation pipelines leveraging GPT-3 and LLaMA, increasing content automation by 40%for client marketing campaigns.• Developed and fine-tuned diffusion-based image synthesis models, reducing design turnaround time by 30%while ensuring high-quality creative outputs.• Created interactive Tableau dashboards by integrating multiple data sources, enabling clearer insights and data-driven decisions for stakeholders.• Applied advanced prompt engineering techniques for large language models, improving chatbot response accuracy by 25% and enhancing user experience.• Improved data workflows and query performance using SQL and MongoDB, achieving a 15% reduction in data retrieval times.• Assisted with CI/CD pipelines and supported ML model deployments on AWS/GCP, ensuring smooth, scalable, and production-ready releases.

Lords Institute of Engineering & Technology

Bachelor of Computer Science, Computer Science

County of Cumberland

Master's Degree, Information Technology

Osmania University

Bachelor's Degree, Computational Science

University of the Cumberlands

Master of Science - MS, Information Technology