About Me
AI Engineer intern with experience in research and development of language model-based solutions, knowledge testing models, and personalized response generation. Also experienced in data science, teaching assistance, and…
AI Engineer intern with experience in research and development of language model-based solutions, knowledge testing models, and personalized response generation. Also experienced in data science, teaching assistance, and machine learning projects involving recommendation systems, classification, and computer vision.
Experience
AI Engineer intern
Conducted comprehensive research on open-source Language Models (LLMs), resulting in the strategic choice of GPT-3.5 Turbo for the "Career Coach" project.
Developed and fine-tuned a mock user profile for GPT-3.5 Turbo, enabling the generation of personalized responses.
Spearheaded the development of a knowledge testing model in tech-related subjects.
Created a robust knowledge base for fine-tuning a Language Model.
Facilitated user learning by providing brief and detailed explanations, along with examples, for both correct and wrong answers.
Graduate Teaching Assistant
Aided the professor in developing a knowledgeable and comfortable environment for about 140 students by checking assignments, proctoring tests and providing grades according to university standards.
Collaborated with staff in curriculum reviews to improve course and program offerings.
Enhanced student learning experience in OpenCV concepts, software installation, and assignments, contributing to a pass rate of over 95%.
Collaborated with Teaching Assistants, optimizing student support and fostering independent problem-solving skills.
Data Science Intern
Identified market correlations through data analysis, aiding in strategic decision-making with insights leading to improved trade evaluations.
Streamlined data visualization processes by 10% through a Python web app, enabling efficient extraction and visualization of Federal Resource data.
Elevated client services by developing an 80% accurate sentiment analysis API, enabling better understanding of financial advisor feedback.