About

Shivaram Prasad Meesa is a final year Computer Science undergraduate from IIT Madras, with a keen interest in Systems Engineering and Deep Learning. He is an accomplished algorithmic problem solver and actively participates in Codeforces contests. Shivaram is a technical and focused individual who enjoys building new products and improving his skills through various projects and courses. Shivaram has previously interned at Sprinklr in the AI team, where he fine-tuned Flair's Contextual String Embeddings Language Model on a 20-million-word Twitter corpus to improve the accuracy of brand-detection-task. He also studied and presented research papers on Automatic Speech Recognition (ASR) to equip the team with Spanish ASR tasks. Shivaram created a web application to host and visualize models and datasets that are used by the Sprinklr AI team, using Python Streamlit. Apart from this, Shivaram has worked on various systems engineering projects and has done an IoT internship at RISE Lab, where he developed obstacle-avoiding robots and gained experience writing device drivers. He has taken various courses related to Systems Engineering and core Computer Science and uses other online methods to explore his interests. Shivaram is interested in Software Engineering, Machine Learning, and Computer Security roles. Currently, Shivaram is working as a Software Developer at EdgeFocus. His tech stack includes Software Engineering, AI, ML, Deep Learning, Corpus, Language Models, Python, Research Scientist, and Web. Shivaram has 0.86 years of relevant experience and is always looking to improve his skills and take on new challenges.