Farhan Zafar Email & Phone Number

Pakistan

San Jose, California

Ensure that the progress of AI projects is in line with the plan, set milestones and task allocation.Communicate with product teams, engineering teams, research teams and other relevant departments to ensure the smooth progress of projects.Regularly hold one-on-one meetings with team members to understand their needs and feedback and help them solve problems.Maintain communication with customers to understand their needs and feedback, provide technical support and solutions.Provide regular reports on project progress and results to senior management and stakeholders.Main achievements:• Successfully delivered multiple complex AI projects and improved product market competitiveness.• Optimized project management processes and increased project delivery efficiency by 20%.• Promoted the application of AI technology in products and improved user experience and satisfaction.

Santa Clara, California

Break down project tasks, develop detailed project timelines and milestones, and allocate resources and responsibilities. For example, assign tasks such as model development, data preparation, system integration, and testing to different team members.Communicate project progress with stakeholders regularly, prepare and submit project progress reports, and ensure that everyone has a clear understanding of the project status.Select appropriate machine learning models for intelligent prediction functions and evaluate their accuracy and implementation difficulty.Develop contingency plans when the prediction model may not achieve the expected accuracy, such as adjusting the model or increasing the data set.Work with the QA team to develop a test plan to ensure the stability and reliability of the function. Develop test standards for the model to ensure that it performs consistently on different data sets.

Santa Clara, California

Use Python scripts to extract a large amount of historical service request data from the ServiceNow database. You need to handle missing data, remove duplicates, convert date formats, and tokenize and label text data for subsequent model training.Run multiple experiments and adjust hyperparameters such as learning rate, batch size, number of layers, etc. through Grid Search. You also try to add or remove features to determine which features have the greatest impact on model performance. Through these tuning, you will increase the accuracy of the model from 80% to 85%.My day will revolve around improving model performance and stability, ensuring its effective application in real business scenarios, and working closely with the team to drive project progress together.

Santa Clara, California

Collect data from the company's IT service management system, clean and preprocess the data.Design and implement new machine learning models, train and verify models.Optimize existing models, including hyperparameter tuning and feature engineering.Deploy trained models to production environments and set up monitoring and alarm mechanisms.Participate in code reviews, discuss technical issues and solutions with team members, discuss how to handle large amounts of data more efficiently, and decide on these improvements in the next iteration.Write technical documents to record the design ideas, implementation details, test results, and deployment process of the model, describe the deployment steps and monitoring settings of the model in detail, and submit the documents to the company's knowledge base for reference and use by other team members.