Software Developer

• Optimized backend services using Node.js and NestJS, resulting in a 30% performance increase.

• Improved SEO based on performance and traffic metrics

• Turned Figma designs into working UI

• Added search and similar tours feature, leading to a 4% increase in revenue

• Built a review system for user feedback

• Integrated new features into the management panel

Software Developer Intern

• Built a backend using the .NET framework and C# programming language.

• Designed a relational database using Microsoft SQL Server and managed it using SSMS.

• Developed the frontend with React.js and ensured responsiveness using Bootstrap 5.

• Implemented various features including a shopping cart, user account management system, and

others.

Java Backend Academy⁠

• Learned Java fundamentals, OOP principles like inheritance and polymorphism. Managed file

operations and exception handling.

• Connected to databases, executed SQL queries, handled transactions. Built CRUD APIs with Spring

Boot, secured with Spring Security.

• Unit testing was done with JUnit and Mockito.

Product Management Bootcamp⁠

• Developed solutions to enhance Netflix's content discovery, aiming to improve user experience

and increase subscriptions.

• Conducted SWOT analysis, competitor analysis, and HOW MIGHT WE Analysis.

• Developed solution sketches to propose alternative solutions.

• Created personas and use cases to identify user needs.

• Formulated epic user stories and determine

Clothes Recommendation System Based on Weather Conditions

Developed a real-time clothing recommendation system that combines YOLOv4 and YOLOv5

algorithms to detect clothing in camera images and provide weather-based outfit suggestions,

demonstrating an innovative fusion of AI and image-processing technologies.

• Applied YOLOv4 algorithm with artificial neural networks to detect human figures in real-time

camera images.

• Successfully trained the YOLOv5 model to perform real-time clothing detection on individuals

captured by cctv.

• By incorporating real-time weather information, the system ensures that suggested clothing

options are appropriate for the current weather conditions.

Computer Engineering - GPA: 3.17