Kashmira Dolas
About Kashmira Dolas
Kashmira Dolas is a Software Engineer with extensive experience in fraud detection solutions and project leadership at Feedzai. She has a background in data science and modeling, having previously worked at Anlage Infotech and NEC Energy Solutions, and holds a Bachelor's degree from the University of Mumbai and a Master's degree from the Rochester Institute of Technology.
Work at Feedzai
Kashmira Dolas has been employed at Feedzai as a Software Engineer since 2019. In this role, she serves as an engineering project lead, providing consultation and demonstrations for various fraud detection solutions, including Transaction Fraud for Merchants and Anti Money Laundering. She has led multiple projects as part of the Cluster team, focusing on extending and customizing in-house products and services. Additionally, she has facilitated the onboarding of new engineers and provided technical mentorship to both associate and professional level engineers.
Previous Experience
Prior to her current role at Feedzai, Kashmira Dolas worked at Anlage Infotech (India) P Ltd as a Technical Analyst in the Human Resources Department from 2014 to 2015. She also served as a Co-op in Cell Modeling at NEC Energy Solutions in 2018, where she focused on data science and modeling using neural networks. Her experience includes delivering projects from conception to go-live stage for large-scale Fintech production systems, ensuring high availability and reliability.
Education and Expertise
Kashmira Dolas earned her Bachelor's degree in Information Technology from the University of Mumbai, where she studied from 2009 to 2013. She later pursued a Master's Degree in Computer Science at the Rochester Institute of Technology from 2016 to 2019. Her educational background provides her with a solid foundation in software engineering and data science, which she applies in her current role at Feedzai.
Technical Contributions
In her role at Feedzai, Kashmira Dolas has developed a robust, environment-agnostic ETL tool for data migration from cloud-native on-prem environments to cloud environments. This tool enhances computation and scalability for model training. She has also created a performance test suite that simulates realistic load using historical data, generating reports to analyze various performance metrics. Additionally, she has handled major product version upgrades, ensuring zero downtime during deployment.