Meet Manas Singh, a junior majoring in Computer Science with a specialization in Artificial Intelligence and Data Science. He is currently an undergraduate researcher in the Language Understanding and Reasoning (LUNR) Lab under Dr. Niranjan Balasubramanian.
Manas’ journey began with a high school fascination with robots and humanoids turned passion for Artificial Intelligence. This led him to research in the LUNR Lab under Dr. Niranjan Balasubramanian. In this research, Manas has been working on the RAG4Coding project where they are working on making large language models (LLM) better at writing context-aware code. His involvement includes building retrieval components, training models to use the context they are given, and creating a pipeline where a larger model can generate synthetic data to help smaller models work more efficiently.
Alongside that, Manas has been creating something of his own, the NotiSentry App. Manas found that people usually get buried under the constant pings and notifications, but the Do Not Disturb feature on your typical cell phone is also very limited. This inspired him to develop NotiSentry, as he wanted to see how LLM solves real-world everyday problems. The goal of NotiSentry is for it to use an LLM to filter and prioritize phone notifications. While it is still under testing and development, Manas hopes to officially launch it in the app store in the near future.
Read the full story and an interview with Manas on the CEAS Undergraduate Student Office website.
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