Current Team

Saai Vignesh Premanand

Office:
Phone:
Fax:
E-mail: ude.ui@merpas

Education
M.S. in Computer Science, Indiana University Bloomington (2024-present) B.E. in Computer Science and Engineering, Anna University, India (2018–2022)

Background
I have experience in full-stack development, cloud computing, and applied machine learning, having built scalable platforms across various domains. At my previous workplace, StellarLogix, I developed Ramix, an ESL management platform, optimizing performance through data caching and compression. I also architected RSquare, a cloud-based IoT tracker leveraging AWS services to enhance device connectivity and energy efficiency. Prior to that, at Calibraint Technologies, I was a core member of a team that built a procurement and analytics software suite using the MEAN stack. This platform addressed real-world challenges in consulting and procurement by integrating analytics and continuous feedback. I also contributed to Improveo, a professional networking platform for consulting firms, developing core-modules such as Chat and News Feed and enhancing application speed and scalability through query optimizations, data caching and compression techniques. Beyond work, I’ve explored AI-driven solutions and applied machine learning through various projects. I built Tinker, an LLM-powered document summarization bot that processes PDFs, Word, Excel, and images for efficient content extraction. My research into medical AI led to PneumoNetFusion, an ensemble CNN model for pneumonia detection, where I improved specificity using synthetic X-ray data generated via GANs. Additionally, I developed a contactless COVID-19 screening system using computer vision and IoT sensors for real-time temperature and face mask detection. My plant disease classification project compared DenseNet201 and CNN models, with findings published in IRJET.

Personal
Outside of work and academics, I enjoy exploring new tech stacks, contributing to open-source projects, and participating in hackathons. I was 2nd Runner Up at Luddy Hackathon 2024 for building the LLM-powered bot (Tinker). In my free time, I love traveling, playing board games, and discovering new music.