Data/Business Analyst,ML Engineer

I’m a Computer Science undergraduate at KIIT who enjoys building systems that solve practical problems at scale. What initially drew me toward engineering was the combination of problem-solving and the ability to create something impactful from scratch. Over time, that interest evolved into a focus on backend systems, machine learning, and scalable applications.

What makes me unique is that I try to combine strong engineering fundamentals with real-world execution. During my internship at CRIS, I worked on large-scale railway logistics data and helped improve prediction accuracy while reducing pipeline latency for operational monitoring systems. Alongside academics, I’ve independently built projects ranging from a competitive programming platform with concurrent code execution to a financial forecasting SaaS and a quantitative portfolio optimization system.

I enjoy understanding how systems work end-to-end — from APIs and databases to model pipelines and deployment — rather than working in isolated silos. I’m also someone who learns quickly, adapts fast, and genuinely enjoys diving deep into technical challenges. The opportunity to work in fast-moving environments like Web3 and fintech is especially exciting to me because of the scale, complexity, and impact involved.