Headline

Data & AI @ Adobe

About

A few years ago, I built a scrappy trading model using nothing but Excel, intuition, and a ridiculous amount of late-night reading. It didn’t make me rich—but it did make me realize that markets aren’t just numbers. They’re human behavior at scale—emotion, momentum, conviction. Later, working with AI, I saw something similar. We built models that could predict, generate, and automate, but the hardest part wasn’t the technology—it was how people trusted (or refused to trust) machine-driven decisions. The gap between what’s possible and what’s adopted is rarely about tech; it’s about psychology, incentives, and timing. Now, as I continue to explore the world and the realm of what's possible, I see the same patterns. We’re on the edge of a great repositioning of global capital, and the biggest opportunities lie in building resilient businesses that will define the next decade. I want to be part of that—figuring out where capital should go, what ideas will endure, and how to connect data, markets, and storytelling to shape better decisions. At the core, I’m fascinated by why people make the choices they do—in investing, in business, in life. That’s what drives my curiosity across technology, finance, and storytelling. 📩 Let’s talk—about AI, capital, behavior, storytelling, or the next big shift. Always open to learning, building, and exchanging ideas.

Location

Bengaluru

AI stack

claude code

claude

cursor

langgraph

ollama

Work experience

Data & AI at Adobe, Jun 2025 - Present · 1 y 2 mo, Bengaluru, Building AI agents & data pipelines for enterprises at scale. - Received the team innovation award for leading the development of an internal data engineering agent using Langgraph & AWS Stack. - Built 10 end-to-end data pipelines for a leading Asian bank using AWS Glue with MWAA Airflow DAGs for orchestration. - Developed a UI extension for a global technology leader, enabling seamless data exchange and workflow integration between 2 platforms for a content supply chain use case. - Performed extensive data analysis for a major automobile manufacturer, identifying high-impact AI parameters and enabled downstream AI & ML use-cases by building scalable data pipelines on AWS.

Investment Analyst at MountTech Growth Fund - Kavachh, Feb 2025 - Jun 2025 · 4 mo, New Delhi, Delhi, India, Worked with the investment team at MGF to support deep tech investments, particularly in space and defence, actively contributing across the deal lifecycle and beyond—from sourcing and diligence to portfolio support and market research.

Education

Bachelor of Technology - BTech, Electronics and Communications engineering (ECE), Vellore Institute of Technology

12th CBSE Board Exams, Blossom Public School - India