About
My work sits between scientific research and software delivery. Over a decade I have moved from neuroscience and signal-processing research into building C#/.NET applications for regulated healthcare and assistive technology — and now lead product and business systems for a multi-country recruitment group.
A practical engineering philosophy came from combining scientific research, regulated software delivery, and running a business over time. This section turns that path into a clearer journey.
Foundation
A PhD in signal processing and brain–computer interface research built the base layer: rigorous analysis, working with noisy real-world data, and turning experiments into published results.
Build phase
As a developer I shipped C#/.NET products where reliability matters — an FDA-validated clinical decision support tool and assistive-technology apps built with therapists and the people who use them.
Today
I now lead delivery and operations for a recruitment group, building full-stack platforms and AI-integrated products that let a lean team operate across India and the EU.
What keeps the work moving
I keep coming back to the same challenge: how do you design systems that are rigorous enough to trust, simple enough to use, and practical enough to ship?
Approach
I map the domain, its constraints, and the people who will use the system before deciding what needs to be built.
From signal analysis to FDA validation, I lean on testing, data, and stakeholder feedback to make sure the work holds up.
I take work from concept through every SDLC phase to software that is stable, maintainable, and ready to run.
Focus areas
The result is a portfolio centred on dependable software, sound research, and products people can actually use.
Next step
Explore projects across clinical decision support, assistive technology, neurotech research, and business systems.