Enhanced the LLM's data processing and model training pipelines, leading to a 25% increase in efficiency and a 15% enhancement in output precision across varied tasks without the direct use of NLP algorithms.

Evaluated Al-generated responses using a Side-by-Side (SxS) scoring system, enhancing model accuracy by ranking based on key dimensions.

iOS developer intern at MoodMe - A company that specializes Real Time Emotion Detection AI

Utilizes my skillsets in Xcode & Swift and Machine Learning framework to detects a wide range of emotions. It enables you to gather precise insights from our clients or users, ensuring privacy and security across multiple devices.

Built and launched 3 iOS applications from conception to delivery, managing all aspects of the development lifecycle, from design to testing and deployment.

Leveraged a range of programming languages, frameworks, and SDKs, including Swift, UIKit, Core Data, and Firebase, to create robust, high-performance applications that deliver exceptional user experiences.

Currently developing an engaging Python game using the Pygame library and an object-oriented programming approach.