Shahbaz Mansahia@shahbaz_mansahia

About me

I am a graduate student at San Jose State University, pursuing a degree in software engineering with a specialization in data science. My skill set includes proficiency in Python and utilization of key libraries such as Pandas, Seaborn, Plotly, and NumPy. I have actively contributed to various data analysis projects, showcasing my ability to manipulate and interpret complex datasets. Beyond data science, I have a passion for game development, as demonstrated through my participation in the Global Game Jam and my proficiency in using C# and Unity to create video games. My commitment to open source projects is evident in my involvement with Stable Diffusion and YOLO v4, as well as my recent contribution to the HuggingFace open source game jam, where I played a key role in developing batch scripting for the LEDITS model. Our collaborative efforts resulted in the creation of the most popular game at the event, based on positive reviews and comments. I am not only an active participant but also a contributor to the academic community, having presented a paper on prompt recommender systems at the IEEE AIKE 2023 conference. Additionally, I secured victory in the Brembo Generative AI hackathon in 2023. Our winning submission leveraged Langchain with GPT-3.5 Turbo (chatGPT) and included fine-tuned GPT models, resulting in a state-aware and materially valid data generator. This experience underscores my ability to innovate and apply cutting-edge technologies to real-world challenges. Overall, my academic background, technical expertise, and practical experience in data science, game development, and open source collaboration position me as a well-rounded candidate for the a team, and I look forward to contributing my skills and passion to your team.

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