Understand the real workflow
I stay close to customers, sales, and field teams during discovery and evaluations. The goal is to understand what they are building, where the workflow breaks, and what matters beyond the initial feature request.
Enterprise SDKs · Engineering software

Background
I started in mechanical engineering, drawn to problems where math, software, and physical systems come together. At IIT Roorkee and the University of Michigan, I worked across computational physics, numerical methods, finite elements, simulation, and high-performance computing.
At Michigan, I contributed to a Toyota Research collaboration on solid-state battery degradation. That work shaped how I think about engineering software at scale: models are only useful when they help people reason about complex systems more clearly and realistically.
Tesla brought me closer to production. I worked on battery-cell manufacturing equipment, where engineering design decisions had to hold up under real operating constraints — reliability, repeatability, deployment, and speed.
Today, at Dassault Systèmes Spatial, I work on enterprise SDKs used by engineering teams in design, simulation, and robotics around the world. My work sits between customers, developers, and R&D: understanding technical workflows, shaping APIs, guiding evaluations, and helping complex technology become easier to deploy and adopt.
I also build independently. NextGen News is an AI product I started for young readers in India, where I work across product, engineering, AI workflows, validation, and distribution.
Mechanical engineering
Computational research and multiphysics
Battery manufacturing and deployment
Enterprise SDKs, simulation, and robotics
Independent AI product building
How I work
I stay close to customers, sales, and field teams during discovery and evaluations. The goal is to understand what they are building, where the workflow breaks, and what matters beyond the initial feature request.
I use AI-assisted development to turn ambiguous needs into something tangible: a C++ POC, an API sketch, or a lightweight application. Prototypes expose tradeoffs, clarify requirements, and reduce the risk of spending months on the wrong capability.
Once the need is validated, I work with R&D on architecture, APIs, roadmap, enablement, and GTM. The goal is to scale what we have learned into something customers can adopt.
Selected work
Dassault Systèmes Spatial
Own SDK products across meshing, constraint solving, and robotic motion planning for customers building design, simulation, and robotics software.
Read case study →University of Michigan × Toyota Research
Computational research on battery aging using multiphysics simulation, finite elements, image-based datasets, and HPC workflows.
Read case study →AI product and learning platform
A live, India-focused news and learning product that turns current affairs into calm, sourced, age-appropriate reading for young students.
Read case study →