AJITH VARMA PENMATSA

Dallas, Texas, *****

972-***-**** adyfhn@r.postjobfree.com linkedin.com/in/ajith-varma-penmatsa github.com/ajithvarma97 EDUCATION

University of Texas at Dallas, Dallas, Texas December 2023 Master of Science in Information Technology and Management GPA: 3.92 Coursework: OOPS in Java, Data Management, Cloud Computing,User Centric Web Development Gandhi Institute of Technology and Management, Visakhapatnam, India April 2019 Bachelor of Technology, Computer Science and Engineering Overall CGPA: 3.83 Coursework: Data Structures and Algorithms, Machine Learning, Data Mining, Computer Networks Honors: Finished in top 5% of Computer Science and Engineering department. TECHNICAL SKILLS

Languages: Python, Java, C, C++, C#, HTML, CSS, JavaScript Databases: MYSQL, POSTGRESQL

Web Frameworks: Spring Boot, React Native

IDE: Visual Studio, Eclipse, Git, Anaconda, Dev C++, Atom PROFESSIONAL EXPERIENCE

Software Engineer - ELICO Ltd., Hyderabad, India September 2020 - January 2021

• Designed an efficient analytical instrumentation maintenance software utilizing C#, ASP.NET MVC, resulting in a 20% increase in equipment uptime and reducing maintenance costs by $50K annually.

• Administered PostgreSQL databases for a team of 10 users, ensuring proper database definition and struc- ture, leading to an accuracy rate of 99.9% in data usage.

• Collaborated with a cross-functional team of three developers to design and implement high-performance Web APIs that increased response time by 30%, resulting in improved user experience.

• Drafted a comprehensive report to document bugs and design flaws, resulted in bug reduction by more than 50% according to client requirements.

Data Analyst Intern - FluentGrid Ltd., Visakhapatnam, India January 2019 - March 2019

• Implemented ARIMA and Holt-Winter models to analyze hourly vehicular traffic flow, resulting in 20% im- provement in ARIMA's predictive accuracy over Holt-Winter.

• Conducted rigorous performance evaluations of both models, analyzing various vehicle counts and metrics to identify ideal predictive algorithms.

• Proposed deployable model has the potential to revolutionize traffic management systems across smart cities globally by providing real-time data insights and predictions. Machine Learning Engineer Intern - Clove Technologies, Hyderabad, India April 2018 - June 2018

• Executed convolutional neural network architecture to improve face recognition system accuracy by 15%, resulting in a higher detection rate of 75%.

• Created an interface for user customization of recognition thresholds, allowing for a personalized and eff- cient experience while maintaining a low false alarm rate.

• Maintained the recognition rate of 55.59%, performance comparable to a state-of-the-art system. PROJECTS

BillShare Spring Boot, React Native

• Developed a user-friendly mobile application that facilitated the splitting of bills among friends.

• Authored a feature allowing users to specify due dates for bills and receive notifications for any overdue payments, reducing late payments by 40% and improving customer satisfaction. Linux Shell C, System Calls, Operating Systems

• Devised a high-performance shell program using basic Linux system calls in C, including fork and execvp, resulting in a 50% reduction in execution time compared to previous methods.

• Presented advanced features such as I/O redirection, pipes, and background processes to streamline work- flows and increase productivity by 25%.