Contributed to the development of applications, writing over 1,000 lines of code across various projects, using technologies such as Java, Python, and SQL.
Resolved an average of 15-20 software defects per month, improving system efficiency by 10%.
Worked with cross-functional teams, ensuring timely delivery of 5+ projects with a focus on quality and client requirements.
Supported client requests by providing technical solutions, resulting in a 95% client satisfaction rate.
Associate Software Engineer
Virtusa Consulting Services Private
Hyderabad , Telangana
08.2021 - 06.2022
Developed and optimized backend processes, improving system performance by 15%.
Collaborated with a cross-functional team to successfully deliver two client-facing applications, reducing the development cycle time by 20%.
Led efforts in debugging and testing, achieving a 98% bug resolution rate, ensuring high-quality code delivery.
Implemented RESTful APIs, increasing system scalability by 30% and enhancing the system's ability to handle more requests.
Contributed to overall project efficiency, resulting in a 10% reduction in operational costs due to process optimization.
Education
Master of Science - Information Technology
University of Cincinnati
Cincinnati, OH
12-2024
Bachelor of Engineering - Information Technology
CVR College of Engineering
Hyderabad
05-2022
Skills
Languages: Python, Java, C, HTML/CSS, JavaScript, Typescript, SQL, Linux
Web Technologies: ReactJs, Spring boot, Graphql, RestAPI, HTML5, CSS3, Express, Bootstrap, JavaScript, Django, API Development, Node JS, Jquery, Unity, Agile Methodology
Projects
Image Captioning for Autistic/Down Syndrome | Python, Keras, TensorFlow
Led a team of 5 psychologists and 3 therapists, refining a tool for autistic learners through 50+ testing sessions, significantly enhancing accessibility and educational features for children with visual and auditory challenges.
Developed a Python-based Image Captioning system using TensorFlow, Keras, and LSTM, designed for over 100 autistic children, ensuring accurate text generation and scalability with AWS Amplify for deployment.
Custom
Scalable Medical Appointment Booking System | Spring Boot, ReactJs, AWS
Developed a cloud-based appointment booking system using Spring Boot and ReactJs, optimizing backend processes and improving scalability by 30%.
Deployed RESTful APIs on AWS, integrating DynamoDB and MySQL for real-time scheduling. Implemented a Python and TensorFlow recommendation engine, increasing scheduling efficiency by 20%.