About Me
I grew up in Mumbai chasing two things: javelin throws and broken circuits. The real pivot came in my second year of university — a professor drew a scatter plot and showed how a few lines of math could extract meaning from millions of data points. I've been chasing that idea ever since.
Today I work as an Associate AI Engineer at XEqualTo Analytics, building MCP servers and data pipelines for FinOps and warehouse intelligence systems. In parallel, I independently research AI safety at Trajectory Labs — designing evaluation frameworks, probing model behavior under adversarial conditions, and studying where AI systems can fail before they do it in production.
I completed a Research Fellowship at Electric Sheep (Futurekind AI), exploring how agentic AI systems contribute to broader ecological and societal risks. I also completed technical AI safety training through BlueDot Impact and hold certifications from DeepMind, DeepLearning.AI, and Databricks.
Outside the terminal: I've won silver and gold in javelin and discus — sport taught me what deliberate practice actually looks like. Music keeps me grounded. My long-term goal is to build an organization where AI safety is a core design principle, not an afterthought.