Anup is a builder at heart who has spent over two decades turning buzzwords like cloud, data, AI/ML, and generative AI into real, working systems that solve hard problems at scale. From travel to media, engineering, construction, and real estate, the common thread has been designing high-impact, enterprise-grade solutions that don’t just look good on slides, but actually ship, run, and deliver value at scale.

What I Do Today

Anup is a Principal Solutions Architect at Amazon Web Services (AWS) in the Greater Washington, DC area, working as a technical advisor and architect for the largest property technology and real estate enterprise in the US. As an Area Principal for the Engineering, Construction, Real Estate, Transportation & Logistics (ECRT) vertical, Anup leads strategy, architecture, and execution of cloud and AI solutions that have to be robust, scalable, and ready for real-world complexity.

Where I’ve Been

Before AWS, As the Database Engineering Lead, Anup helped Expedia migrate more than 2,000 mission-critical database systems to the cloud, laying the groundwork for faster innovation and early adoption of machine learning to optimize database performance and reliability in travel tech. Earlier at Microsoft, Anup managed and optimized global-scale database infrastructures for high-volume licensing operations, gaining deep experience in designing secure, highly available enterprise systems that can handle complex data ecosystems.

How I Think

Anup pairs deep technical expertise with an MBA from Sikkim Manipal University, which means architecture decisions are always tied to business outcomes, not just technical elegance. That mix of hands-on engineering and strategic thinking makes Anup particularly effective as a judge, advisor, and collaborator on AI and cloud initiatives where innovation has to meet measurable impact.

A Bit Of Fun

When not obsessing over latency, vector databases, or prompt strategies, Anup is usually geeking out on new AI research papers, whiteboarding wild product ideas, or explaining to friends why “it depends” is the most honest architecture answer ever. This blog is where those experiments, lessons, and occasional hot takes on AI, cloud, and real-world implementation stories find a home.