Complex problems, manageable pieces
Mathematics · Data Science · Complex Systems
Founding ML Engineer at Mendria, building AI underwriting infrastructure that prices hidden climate risks on physical assets. Previously scaled data science at SmartHelio (YC-22). I work at the intersection of research and production—uncertainty quantification, risk modeling, and ML systems for real-world decision-making.
Academic foundation to professional growth in data science
I'm driven by a deep interest in how data shapes knowledge, decisions, and infrastructure. I enjoy working at the intersection of research and engineering, where algorithms meet real-world systems to solve practical problems. I care about engineering rigor too: clear interfaces, clean code, tests, and reproducible pipelines.
I'm passionate about understanding and developing intelligent systems at the intersection of society, data, and science.
Reading across technology, society, philosophy, and mathematics, with a focus on the epistemology of data and the science-society interface.
I'm inclined towards studying complex dynamical systems around humans, urban environments, and emerging technologies through networks and data-driven approaches.
Member of the Network Science & Graph Theory Group at IIIT Kottayam, mentored by Dr. Divya Sindhu Lekha. Completed two reading projects in complex networks. People
What connects all these interests is a fascination with emergence — how simple rules and interactions give rise to complex behaviors and patterns. Whether it's in technological systems, social structures, or natural phenomena, I'm drawn to understanding how complexity arises from simplicity and how we can leverage this understanding to build better systems and make more informed decisions.
Interactive network visualizations and small experiments in graph-based reasoning. Start with a directed artist-relations network.