Software Developer Computer Science

Ganesh Sai Durga Bala Krishna Kuthyaru

+1-850-***-**** ***************@*****.*** LinkedIn

Education

Florida State University Aug 2022 - May 2024

Master of Science - Computer Science GPA – 4/4

Coursework: Network Security, Concurrent Parallel & Distributed computing, Data & Computer Communications, AI Jawaharlal Nehru Technological University Aug 2016 - Sep 2020 Bachelor of Technology - Computer Science GPA - 3.4/4 Coursework: Data Structures through C++, Design & Analysis of Algorithms, OOPs through Java, DBMS, OS Experience

Office of Accessibility Services, Florida State University Tallahassee, USA Testing Lab Assistant Feb 2023 - May 2024

● Ran Python scripts to automate exam paper processing, integrating text extraction algorithms using PyPDF2, pdf2image, and PyTesseract libraries and reduced exam paper preparation time by 60% compared to manual methods.

● Orchestrated technical compliance for computer-based exams, managed check-ins, and expedited exam returns to instructors by utilizing MS Office for documentation. Increased the process efficiency by 75%.

● Optimized the workflow efficiency by introducing concurrent processing methods, cutting down PDF file processing time by 50% and boosting overall team productivity by 40%. Deloitte Digital Hyderabad, India

Analyst Jan 2021 - Aug 2022

● Collaborated with cross-functional teams to develop a B2C e-commerce platform, engaging in all SDLC phases and data modeling tasks.

● Implemented REST APIs using the Spring MVC framework and SAP Hybris, leading to a 40% surge in order value and a 25% drop-in cart abandonment rate, enhancing the e-commerce platform's revenue stream.

● Translated business requirements into efficient Impex scripts, managing Backoffice tasks, Smartedit, WCMS, Cron jobs, and payment integrations, achieving less than 5% defects.

● Pioneered the creation of Groovy script to rectify missing data on production, modifying over 1,000,000 customer records, and developing a language restriction feature for components, cutting software development effort by 20%. Skills & Certifications

Languages & Technologies: Java, JavaScript, C, C++, Python, SQL, HTML, CSS, XML, JSON, REST APIs, JSP Frameworks & DB: Spring Boot, Node, Express, React, Excel, JPA, Junit, Bootstrap, MySQL, MongoDB Others: Unix, SAP Hybris Suite, Apache Solr, Splunk, Postman, IntelliJ, Jira, Git, Log4j, Visual Studio Certifications: The Web Developer Boot Camp & Spring and Hibernate by Udemy, AWS Certified Cloud Practitioner Additional Expertise: UML, Design principles, Deep NN, Agile Methodology, AWS Projects

Netflix Clone Tech Stack: Springboot, AOP, React.js, MongoDB, and Visual Studio.

● Constructed a Netflix Clone by utilizing Spring Boot and React.js, prioritizing sound design principles and aspect-oriented programming techniques to enrich exception handling functionalities and decreased backend response time by 30%. Yelp Camp Website Tech Stack: Node.js, JOI, Cloudinary, Mapbox, Express, MongoDB, Bootstrap, and Visual Studio.

● Engineered and executed YelpCamp website with Node and MongoDB by enabling user logins, reviews, and comments. Optimized the data management by 40% and streamlined the data handling processes. Tool Kit Tech Stack: C, Linux, and Visual Studio.

● Developed a command-line interface featuring essential Unix-like commands by supporting single command execution with or without parameters, piped commands, and I/O redirection and ">") and integrated the "timeout" command to manage process execution time limits and prevent long-term zombie processes. Detection of Diabetic Retinopathy Tech Stack: Python - NumPy, Sklearn, Keras, TensorFlow, and Google Colab.

● Applied a deep learning model to predict patients' risk of eyesight loss on a 1–5 scale, achieving 94.3% accuracy in risk assessment using a CNN. Processed a dataset of 4000+ retinal images in real-time to greyscale, and fed into the RESNET- 50 CNN model, showcasing a remarkable 10.3% accuracy enhancement over traditional models.

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