Aditi Babu

I’m an AI Engineer focused on building practical AI-powered solutions with Python, from structured data pipelines to production-ready GenAI applications. I’ve worked on Python-based ML pipelines, prompt-engineered LLM workflows, and REST API integrations, with an emphasis on reliable automation for real-world use cases. I’m especially passionate about exploring LLMs, RAG pipelines, agentic AI workflows, and scalable AI applications.

In my Data Analyst Intern role, I designed and maintained ETL data pipelines for AI and analytics, transforming 100+ records while ensuring data quality for downstream model consumption. I also delivered predictive analytics with 85%+ model accuracy and built Power BI dashboards with 15+ visualizations to help stakeholders monitor KPIs. My projects—like a FashionGen AI Studio using FastAPI with Gemini API support and an Equity Research LLM/GenAI pipeline with deployed REST endpoints—reflect my drive to engineer robust, evaluation-focused AI systems.