Sneka Sakthinathan

I’m an Associate Data Scientist with 2+ years of experience building data engineering pipelines, AI-powered automation solutions, and cloud-based analytics using Python, PySpark, and Microsoft Azure.

I develop production AI workflows with Azure OpenAI and Azure AI Search, including redesigning an AI extraction workflow from a single-agent to a multi-agent system—cutting processing time from 15 hours to 8 hours while improving extraction accuracy.

I also build scalable reporting systems that process multi-million-record datasets, integrating automated outputs into live dashboards to eliminate manual report generation and enable self-service insights.

Beyond my core work, I build LLM applications with a security-first mindset—like a prompt injection sandbox for evaluation—and I’ve delivered end-user AI experiences such as an MVP feedback generator and a mental health chatbot using Groq’s LLaMA 3.