Software Developer Computer Science

SRIMATHI MAHALINGAM

Mobile: 413-***-**** Email: ************@*****.*** LinkedIn: linkedin.com/in/srimathi-mahalingam EDUCATION

University of Massachusetts Amherst Aug 2023 – May 2025 Master of Science in Computer Science CGPA : 4.0/4.0

• Coursework: Software Engineering, Machine Learning, Secured Distributed Systems, Advanced Natural Language Processing, Systems for Deep Learning

College of Engineering, Guindy, Anna University Aug 2017 – May 2021 Bachelor of Engineering in Computer Science Engineering CGPA : 8.5/10.0

• Coursework: Programming and Data Structures, Wireless Networks, Embedded Systems, Digital Signal Processing, Design and Analysis of Algorithm, Object Oriented Programming, Cloud computing techniques

• Leadership: Women’s Basketball Team Captain, Lead dancer at university dance group SKILLS

• Programming Languages: C/C++, Python, C#, Java, Javascript, SQL

• Web Technologies: HTML, XML, CSS, PHP, Django, Node.js, React

• ML/AI: Pandas, NetBeans, TensorFlow, Anaconda, Keras

• Operating Systems Windows, Linux, Ubuntu, VMware

• Tools and Frameworks: Microsoft Office, Visual Studio, Eclipse, Git, Bitbucket, JIRA, SharePoint WORK EXPERIENCE

Micron Technology, India

Software Developer II Aug 2022 – Mar 2023

• Successfully led a team in the enablement of Micron's B58R Nand Flash-Assembly Open/Short Test in MTFW resulting in a 40% reduction in testing time. Received Cultural Champion Award for achieving targeted QS milestone successfully.

• Tested and validated the cutting-edge technology of 232-layer NAND which has 75% higher read bandwidth, and a 50% increase in transfer rate compared to 176-layer NAND.

• Contributed for the Aries3 mNAND development of test scripts which had its unique complications with 232-layer architecture with new in-house controller by Micron.

Software Developer I Jul 2021 – Jul 2022

• Specialized in the Micron Test Firmware (MTFW) team, implementing custom Micron code to establish seamless communication between the controller and NAND die.

• Actively contributed to the development, debugging, and upkeep of C++ test programs including API implementation and enabling the testing of state-of-the-art NAND memory devices for both New Product Introduction (NPI) and High-Volume Manufacturing (HVM).

Zoho Corporation, India

Software Intern Jun 2020 – Jul 2020

• Collaborated with the Writer Translation team to create a language translation product that allows users to translate the text with a single click while preserving the original formatting. Utilized a combination of HTML, CSS, JavaScript, jQuery, and Python Flask to develop the translation feature.

PUBLICATION

• Srimathi M, et al. “Phishing URL Detection and Vulnerability Assessment of Web Applications Using IVS Attributes with XAI” ICT Analysis and Applications. Springer Series, Singapore, 2022. Reference: link.springer.com/chapter (933-944)

Projects

File Downloader with Concurrent Downloads Python, Threading, Networking Protocols

• Developed a file downloader application which enables concurrent downloads of multiple files from a remote server. The application utilizes multi-threading to maximize download efficiency and reduce overall download time. Integrated job scheduling techniques to prioritize and manage download tasks, optimizing system utilization and responsiveness.

• Utilized networking protocols such as HTTP and FTP to establish connections with the server and retrieve files. Designed a user-friendly interface to input multiple file URLs and monitor download progress. Music Recommendation App with Database Integration Java, MySQL, Android Studio, React

• Implemented a dynamic music recommendation application that leverages database systems to efficiently store and retrieve songs based on user preferences. The app offers a personalized music discovery experience, allowing users to explore a vast library of songs using multiple filters such as genres, mood, artists, and time periods. Built with a focus on usability and performance, the app seamlessly integrates with backend databases to provide fast and accurate search results, enhancing user satisfaction and engagement.

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