sravya User
@sravyauser1
Python developer building Flask auction applications with SQLite and machine-learning price prediction.
IndiaWhat I'm looking for
My Intelligent Web-Based Auction System brought together user registration, auction listings, competitive bidding, and auction monitoring in a Flask application. I used SQLite to manage auction data and integrated a scikit-learn regression model to predict expected prices from historical data.
On my Smart Agriculture System project, I developed sensor-based field monitoring and irrigation control. I also built an image-processing pipeline to detect bird intrusion and trigger automated alerts.
During my FullStack WebDevelopment internship at PantechSolutions, I worked on responsive web interfaces using HTML, CSS, and JavaScript. I also followed modular coding, version control, and structured development practices.
At Blackbucks, I designed UI/UX wireframes and prototypes, helping improve user interaction flow and accessibility across screens and devices. I’m interested in building reliable backend services, scalable applications, and efficient database-driven solutions.
Experience
Work history, roles, and key accomplishments
UI/UX Design Intern
Blackbucks
May 2025 - Aug 2025 (3 months)
Designed wireframes and prototypes improving user interaction flow, reducing usability issues by 20%. Collaborated cross-functionally with developers, accelerating feature delivery cycles by 15%.
Full Stack Web Development Intern
Pantech Solutions
May 2024 - Nov 2024 (6 months)
Drove development and optimization of responsive web interfaces with HTML, CSS, and JavaScript, enhancing cross-device usability and accelerating load performance. Worked in an agile-style development environment, collaborating with team members and following structured development practices.
Education
Degrees, certifications, and relevant coursework
RVR & JC College of Engineering
Bachelor of Technology, Computer Science and Engineering (IoT)
2022 - 2026
Grade: 8.86 CGPA
Pursuing a Bachelor of Technology in Computer Science and Engineering with a specialization in Internet of Things, achieving a CGPA of 8.86.
Aditya Junior College
Secondary Education, General Studies
2020 - 2022
Grade: 9.1 CGPA
Completed secondary education with a CGPA of 9.1.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Salary expectations
Job categories
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