Ramya
Jeldy

Where Analytical Rigour
Meets AI Depth

I started in software — building front-end interfaces, integrating APIs, and navigating full product lifecycles. That foundation taught me how systems are built and how data flows through them end to end. Over time, I developed a sharp eye for where things break, where data goes wrong, and what it takes to fix it reliably.

Across roles at Wipro, Infosys, and Amnet Digital, I moved progressively into data quality, delivery analytics, and validation — designing Power BI dashboards, performing root cause analysis on data anomalies, coordinating UAT, and producing the kind of structured, accurate reporting that leadership actually trusts. I became the person who caught what others missed.

Through my AI graduate programme and independent consulting, I’ve applied that rigour to AI output benchmarking — maintaining <1% hallucination rates, quantifying retrieval accuracy, and building structured evaluation frameworks for RAG systems deployed in production. I combine Python, FastAPI, and cloud platforms with the analytical discipline of someone who has spent years making data trustworthy.

Businesses working with me get someone who is focused, structured, and results-driven — someone who understands the problem before touching the code, uses clear strategies to reduce risk, and delivers AI solutions that are practical, aligned, and built to last in a fast-moving world.