
Solution Architect and Software Lead with more than a decade of experience designing and delivering high-availability systems for government, banking, healthcare, and IoT sectors. Proven track record of leading cross-functional teams of software, data, and AI engineers through the full SDLC—from shaping stakeholder requirements to building complex, high-performance infrastructure. Active researcher and early adopter of agentic AI, leveraging LLMs to accelerate daily development, optimize CI/CD pipelines, and embed intelligent features into enterprise products.
Passionate about pushing the boundaries of traditional software development by embedding AI, IoT, and digital twin technologies into practical, enterprise-scale applications. Combines a strong foundation in academic research with hands-on expertise in agentic engineering, leveraging LLMs to accelerate development cycles and architect intelligent, data-driven platforms. Excels at identifying complex infrastructure bottlenecks and delivering innovative, automated solutions that dramatically reduce operational overhead while creating smarter, more responsive end-user experiences.
Key achievements
- 75 s to 280 msSped up embedded vote collection by about 268 times.
- 7 hours to 45 minRedesigned a PDF pipeline for runs of 100,000 documents, making it about 9 times faster.
- 100K per hourDesigned and built a new notification system from scratch.
- 3D digital twinDesigned and built an interactive 3D map in 2021, before LLM-assisted development.
Publications
A paper in Agentic AI
In developmentA paper in Software Delivery
SubmittedToward a mixed reality domain model for time-sensitive applications using IoE infrastructure and edge computing (MRIoEF)
PublishedMixed Reality Applications Powered by IoE and Edge Computing: A Survey
Published