Engineer Intern Personal Assistant

RAGHUVEERA VEMULA

Cincinnati, Ohio ****************@*****.*** https://www.linkedin.com/in/raghuveeravemula/ 513-***-**** EDUCATION

Master of Engineering in Computer Science Aug 2023 University Of Cincinnati, Cincinnati, US GPA: 4.0

Bachelor of Technology in Computer Science & Engineering May 2020 Vel Tech University, Chennai, India CGPA: 9.08

TECHNICAL SKILLS

Programming Languages: Java, Python, HTML, CSS

Databases: SQL Server, MySQL, HULC, Cassandra

Services: Web Services, SOAP API, REST API

Tools: Git, JIRA, BDD Framework, HP ALM

AWS: EC2, S3, Cloud9

WORK EXPERIENCE

Application Development Associate, Accenture Solutions Pvt. Ltd., Hyderabad Aug 2020 – July 2022

- Collaborated with cross-functional teams to design and implement new software features.

- Implemented code changes, reviewed code, and ensured the quality of the codebase.

- Improved application performance by identifying and fixing software bugs.

- Worked with databases such as HULC, Cassandra to store and retrieve data.

- Utilized HP ALM to manage and track the progress of the project.

- Participated in code review sessions to ensure code quality and adherence to coding standards.

- Utilized Agile methodologies to deliver software solutions on-time and within budget.

- Conducted unit testing and integration testing to ensure software quality. Software Engineer Intern, Indrize Technologies Pvt. Ltd., Hyderabad Aug 2019 - May 2020

- Innovated software design and development by experimenting with ideas and prototyping.

- Performed thorough testing on new modules, assessing performance against department standards.

- Kept manager informed of milestone updates and provided a detailed project report every week. Intern, National Small Industries Corporation Pvt. Ltd., Hyderabad Jun 2018 - Jul 2018

- Gained hands-on experience with EC2, ECS, S3, VPC, Lambda, Cloud Watch, Storage Gateway. ACADEMIC PROJECTS

Voice Based Personal Assistant Using Machine Learning 2020

- A virtual voice assistant system that helps us to access the applications using our voice. This machine learning model is trained by using dataset with restrictive domains. Respective applications will work based on output of the machine learning model. The result of action is expressed in terms of audio format. Image Classification System Using CNN 2019

- Helps to classify the different images collected or captured. I utilized CNN Algorithm that uses different steps to classify the images and predict the expected image, Technologies: Python, Kera’s, SK-Learn. ACTIVITIES AND ACHIEVEMENTS

- Secured a Certificate of Merit in Product Design Competition, conducted on Engineers Day, 15th Sep 2016

- Presented a paper presentation Titled, Comparative Analysis of Algorithms for Time Taken for Prediction using Python and R in NCECTA, 2019

- Member of NSS, District, State, and National wide Karate Player

- Certifications: Automation Specialist Level 1, TOSCA AS1, AS2, Microsoft AZ-900, DP-900

- Graduate Student Representative, Graduate Student Government (GSG) – University of Cincinnati

- Graduate Incentive Award (GIA) – University of Cincinnati, Aug 2022

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