I’m an entrepreneur and deeptech founder, co-building Avkalan Labs and EigenSole. My work spans engineering software, simulation, scientific machine learning, sensing systems and AI-powered products—turning difficult technical problems into systems people can use, from problem definition through validation and delivery.
Current focus
Areas of interest
The journey
I studied mechanical engineering and later completed an MTech in Nanotechnology at IIT Roorkee. The work developed into computational mechanics, multiphysics simulation, numerical methods and a habit of understanding the physical problem, mathematical model and implementation limits together.
The work expanded into custom solvers, scientific computing, post-processing, validation, high-volume simulation campaigns and data pipelines for engineering and scientific machine-learning applications.
Building products and ventures introduced a different set of questions: who the system is for, which problem matters most, what should be prioritised and how hardware, software, evidence, cost and delivery fit together.
How I describe the work
I’ve co-founded Avkalan Labs and EigenSole, building engineering software for international customers and a connected product with grant-supported prototyping. I build teams and collaborations around technical opportunities and work through delivery, partnerships and adoption.
My foundation is in scientific computing, simulation, numerical methods and solver development. I work across AI/ML, scientific machine learning and engineering software, grounded in validation of complex physical systems.
I translate complex technical capabilities into usable products, workflows and customer-facing systems, working across problem definition, requirements, technical trade-offs, validation and delivery.
I structure complex technical work around clear requirements and dependencies, coordinate multidisciplinary teams and stakeholders, and connect technical reviews and validation with delivery.
Selected experience
Building a deeptech venture around engineering software, simulation and scientific machine learning, with product direction and technical delivery for international customers and R&D collaborations.
Developing a connected insole and movement-analytics product spanning sensing hardware, embedded systems, data and software, with NIDHI-PRAYAS support for prototyping.
Custom numerical solvers, simulation platforms, data-generation workflows, validation and specialist engineering software. Worked on projects funded by ISRO, DRDO and other international labs.
Selected institutions and recognitions
Institutions and programmes associated with my academic journey, funded research projects, startup incubation and product development.
Awards and recognitions
Selected for a Department of Science and Technology-supported Indian startup delegation to Slush 2024.
Recognised for academic performance on completing the MTech programme in Nanotechnology.
Received prototyping support for a custom-fit diabetic-insole system combining metamaterials, AI and 3D printing.
Recognised at E-Summit IIT Roorkee for an early-stage technical product concept.
Publications and intellectual property
Published in Advances in Multidisciplinary Analysis and Optimization. DOI: 10.1007/978-981-95-1723-7_45.
Granted by the Indian Patent Office
Working principles
Beyond work
Outside project work, I spend time writing about engineering concepts, learning across adjacent technical fields and contributing to communities around research, startups and student mentorship.
I bring a founder’s perspective to product building and technical execution, grounded in computational science and engineering. I’m open to conversations about deeptech ventures, technical products and programs, and mentoring people building in these areas.