Kannan is a researcher, software builder, and 12th-grade student at DPS International School, Singapore. His work focuses on analyzing the limitations of artificial intelligence, advancing algorithmic problem-solving, and developing applied technology solutions.
His technical and research portfolio spans several high-impact domains. In AI and legal tech, he investigates Large Language Model (LLM) failure modes, such as "Statutory Myopia" in Retrieval-Augmented Generation, and designs distributed caching architectures to drastically reduce inference costs. In education, he develops transparent, governance-compliant AI tutoring systems. Previously, he served as a Research Team Lead for the New York Academy of Sciences’ Junior Academy, designing data-driven models for hybrid renewable energy solutions, and co-founded Earth Status, a youth-led climate action initiative.
He is a published preprint author and speaker, having presented at the FOSSASIA Summit and Open Source Summit India on AI governance, open-source education, and legal benchmarking. Concurrently, he is an active competitor in cryptography and informatics, holding medals and honors from the International Olympiad in Cryptography (NSUCRYPTO), the National Olympiad in Informatics (NOI), the International Informatics Olympiad (iiO), and the National Cybersecurity Olympiad (NCO).
He is an emerging voice in applied AI and digital literacy, with work dedicated to making complex technological systems transparent, auditable, and accessible. Beyond research and code, he is an avid reader and writer, regularly publishing reviews on productivity, management, and literature to document the ideas that shape his broader perspective.
To explore his technical deep-dives, research breakdowns, and reading notes, please visit the category pages on this blog or reach out via email.
Contact: kannan [dot] mp [at] proton [dot] me