I’m a Software Engineer focused on Full-Stack and AI-driven systems, building scalable, production-ready applications with modern technologies. I spec...
I’m a Software Engineer focused on Full-Stack and AI-driven systems, building scalable, production-ready applications with modern technologies. I specialize in transforming complex ideas into clean, efficient, and high-impact solutions using Python, cloud platforms, databases, and modern web frameworks. I believe in strong ownership, thoughtful architecture, and continuous improvement. My work reflects a balance between engineering precision and product thinking, with a clear focus on building technology that creates real-world value.
• Developed automated image segmentation solution leveraging AI methods to identify various objects and performed interactive image segmentation via cue selection with an accuracy of 98.5%. • Implemented machine learning algorithms for analyzing images and accurately identifying key features, resulting in improved segmentation accuracy by 10%. • Automated multiple image processing tasks within a given framework, increasing throughput by 25%.
• I employed my cricket knowledge to formulate predictions for ICC World Cup teams and created a website using HTML and CSS to present them. • Arrange the team predictions and related data systematically within the website. • Regularly update the website with the latest predictions and data as the World Cup progresses. • Verify that the website functions correctly across different web browsers
Smac-X PVT LTD Research and Development
05/03/2024 - 04/06/2024
During my three-month internship at Smac-X PVT LTD, I worked on an R&D project leveraging AI technologies to extract data from PDF invoices and convert it into JSON format. I evaluated AWS Textract, UiPath Studio, ChatGPT-4 API, and Veryfi for their efficiency and accuracy. I implemented AI models to optimize data extraction, enhancing accuracy and speed. This project improved the data processing workflow, reducing manual entry and boosting productivity.
Geeth Limited Liability Co.
05/11/2024 - Present
Working as a MEAN Stack Developer at Geeth Limited Liability Co., contributions include engineering scalable, production-ready web applications using Angular, Ionic, and NestJS.
Malla Reddy University
01/01/2020 - 01/01/2024
Achieved a CGPA of 8.62 in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning.
Board of Intermediate
10/03/2018 - 10/03/2020
SSC
10/03/2017 - 10/03/2018
AWS
10/11/2023