Summary
Ashwin Naidu is a Lead Data Scientist based in Dublin with a decade-plus track record applying advanced AI across banking, healthcare, and energy to turn complex time-series, text, and vision data into measurable business outcomes. He designs and ships production-grade systems—LLM-based RAG pipelines, multi-agent LangGraph architectures, and hybrid on-prem/cloud deployments—while leading and mentoring teams to deliver compliant, scalable solutions. Known for practical innovation, he built "Mini SUNNY," a financial RAG app that automates compliance checks and executive reporting, and has deployed Kubernetes-orchestrated Airflow workflows with Streamlit UIs. His background spans research-grade 3D CNN work from an MSc in Data Analytics to real-world GCNN and TST models for anomaly detection, blending academic rigor with operational engineering. Certified in TensorFlow and AI transformation, Ashwin balances cutting-edge model development with ethics and regulatory compliance to drive strategic impact.
8 years of coding experience
11 years of employment as a software developer
MSc in Data Analytics Masters , MSc in Data Analytics Masters at University of Galway
Savitribai Phule Pune University