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Click here or scroll down to respond to this candidate Candidate's Name
Gainesville, Florida | PHONE NUMBER AVAILABLE | EMAIL AVAILABLE | GitHub | LinkedIn
EDUCATION
University of Florida, Gainesville, Florida August Street Address May 2024
Master of Science in Computer Science GPA: 3.Street Address /4.0
Coursework: Analysis of Algorithms, Advanced Data Structures, Distributed Operating Systems, Machine Learning.
SRM Institute of Science and Technology, Chennai, India July 2017 June 2021
Bachelor of Technology in Computer Science and Engineering GPA: 3.78/4.0
Coursework: Artificial Intelligence (AI), Object Oriented Programming, Web Development, Cloud Computing, Database
Management, Full Stack Development, Information Technology, Relational Database, Troubleshooting, Problem-Solving.
EXPERIENCE
University of Florida | Graduate Student Assistant August 2023 May 2024
Led the development of a comprehensive web application using Python and Django to facilitate data visualization and
analysis for research projects within the Nanoscale Materials Science field.
Successfully troubleshot and resolved software-related issues, providing technical support to researchers, resulting in a 20%
improvement in overall research efficiency.
Invent.US | Software Engineer Intern May 2023 August 2023
Spearheaded the deployment of micro front end applications utilizing React.js, GraphQL, Express.js.
Achieved a significant optimization in application performance by implementing lazy loading and code splitting tools like
webpack, leading to a notable reduction of page load times by 50%.
Leveraged TypeScript to enhance code quality, type safety, and developer productivity in project, resulting in 25% reduction
of runtime errors and 20% improvement in code maintainability.
Tata Consultancy Services | Java Developer July 2021 July 2022
Enhanced REST-based microservices using Java, Spring Boot, Spring MVC across various healthcare project modules.
Orchestrated containerized applications using Kubernetes on GCP, managing container clusters, and automating deployment,
scaling, and monitoring tasks.
Automated build, test, and deployment processes using Jenkins CI/CD pipeline, resulting in a 30% reduction in deployment
time and a 20% increase in release cycle efficiency.
Created and executed 200+ functional tests using JUnit, boosting test coverage by 30% and cutting production bugs by 25%.
Implemented Agile methodologies and Scrum sessions throughout the Software Development Life Cycle (SDLC), ensuring
timely delivery of high-quality software products.
Tata Consultancy Services | Application Developer January 2021 July 2021
Developed robust backend solutions using Java, Spring Framework, and WebSphere Application Server.
Proficiently enhanced IBM Db2 databases, encompassing database administration tasks such as schema design, performance
tuning, and data backup and recovery, resulting in a 20% improvement in query performance.
Identified and resolved software bugs through systematic debugging techniques, facilitating 25 cross-functional code reviews.
Tata Consultancy Services | Machine Learning Intern April 2019 August 2019
Developed a machine learning model to detect and prevent fraudulent activity within healthcare insurance claims data.
Executed anomaly detection models and rule-based systems, identifying over 1,000 fraudulent claims in the first month.
PROJECTS
Centralized Authentication Server | Express.js, PostgreSQL, Passport.js, Node.js December 2023
Orchestrated the development of a secure authentication server utilizing Express.js, PostgreSQL, and Passport.js.
Established user registration, login, session management, and logout functionalities, adhering to industry-standard practices.
Mobile App to track Alcohol Consumption | Xamarin, Google Places API, C#, .NET December 2023
Led the development of a comprehensive mobile application featuring login, signup, real-time monitoring, and goal tracking.
Integrated Xamarin and Google Places API to enhance location tracking, ensuring real-time monitoring of user activity.
GAN and VAE Implementation | TensorFlow, Keras, PyTorch, Pandas May 2023
Developed and optimized GANs and CNNs for synthesizing number images with a 10,000-record MNIST dataset, achieving
83.1% accuracy on test data and 76.4% on train data through precise hyper-parameter tuning.
Developed a VAE to generate realistic human faces, showcasing proficiency in cutting-edge neural network designs.
Malicious URL Prediction Using ML Techniques | Python, Tkinter, Regression, ETL, Jupyter June 2021
Built a machine learning system for detecting malicious websites using Logistic Regression with 10,000 URLs as input.
Achieved a high accuracy rate of 97.5% in predicting URL maliciousness, outperforming existing models.
TECHNICAL SKILLS
Programming: Python, Java, JavaScript, SQL, C#, C, C++, R, TypeScript, HTML, CSS, PHP, Unix, XML.
Frameworks & Libraries: React, Spring Boot, Restful API, Nodejs, UI/UX, Express.js, Angular, ASP.NET, jQuery, Bootstrap.
Databases and Cloud: MySQL, NoSQL, SQL Server, Postgres, MongoDB, IBM Db2, AWS, Azure, GCP.
Tools & Technologies: DevOps, Git, Docker, Linux, Excel, Jenkins, Unit Testing, Jira, Junit, Kafka, Kubernetes.
Certifications: Google Data Analytics, AWS Machine Learning Foundations, Microsoft Azure (AZ900, DP900, AI900)
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