As a Team Lead at mFilterIt, I lead a team of developers and data scientists to deliver end-to-end solutions for ad fraud detection and prevention across various performance marketing campaigns. With over 10+ years of experience in web development and cloud computing, I have a strong background in AWS, Python, PHP, MySQL, JavaScript, and jQuery. I specialize in using AWS Lambda, Kinesis, Firehose, S3, RDS, EC2, VPC, SQS, Redis, and Docker to build scalable, reliable, and secure applications that track and analyze more than 15 fraud categories, helping clients save millions of dollars in marketing spends and optimize their ROI. I am passionate about leveraging machine learning and data science to stay ahead of the fraud curve and provide innovative and customized solutions to our global customers.