Darranya Koneswaran

I’m a third-year Data Science undergraduate at SLIIT, and I build AI systems that solve real problems with clear, measurable outcomes. I’m especially motivated by predictive ML and multi-agent approaches that can be deployed into useful products.

In my six months of professional backend experience, I worked on a live Construction Management ERP system at Bohar Solutions. I debugged and corrected backend business logic in Laravel, fixing issues like stock calculation errors, unit conversion mismatches, and invoice/payment balance inconsistencies.

I also build user-facing and API-connected experiences, creating React frontend components such as forms, filterable tables, modals, and dashboards. I collaborate using GitHub branching and pull requests, and I’m comfortable working in Agile workflows with daily stand-ups.

My projects reflect the same engineering mindset. I trained an obesity risk prediction pipeline with strong validation performance and delivered deployable Streamlit and Flask apps, and I built a responsible multi-agent renewable energy forecasting system using Claude API with NLP pipelines and bias/audit practices.