Working with AWS Fraud Prevention Team to protect customers from the risk of fraud and abuse across the world. Primary responsibilities include designing, developing and managing large scale systems to handle credentials compromise, account takeovers and outright fraud cases across all of AWS regions. Micro-services, SOA, distributed systems design and development.
June 2021 - May 2025Successfully contributed to Fraud Detection Engine preventing fraud worth $100M every year. Skills Utilized - Python, Spark, Scikit-learn, Databricks, Flask.
June 2020 - May 2021Successfully delivered and forged a new key performance indicator (KPI) using a trend decomposition system built with Facebook Prophet to production with 5.36% mean error for gas station performance analysis across the USA. Deployed a React.js web dashboard for visualization of performance at store-level with the backend built using Node.js.
May 2019 - August 2019Designed and developed an image classifier for loop-closure detection for Visual SLAM in an autonomous vehicle setting. Ideated and implemented a new system to make datasets hosted on web servers and a REST API to access them while training thus enabling dataset modifications after release. Skills Utilized - Python, PyTorch, urllib.
September 2018 - May 2019Designed a computer vision based system for Traffic Surveillance
March 2018 - June 2018Conducted research on impacts of cognitive data on facial expression recognition by deep learning classifiers. Resulted in publications at ICCV, CVPR. Skills Utilized - Python, Tensorflow, PyTorch, NVIDIA DIGITS.
May. 2017 - Jun. 2018This project proposes a new method to detect intersections in real time along with training a classifier from Google StreetView Images.
Computer Programmer, Gamer, Bibliophile, Theatric
© 2025 Viraj Mavani