Kruthika Reddy

At Acuvate, I build AI, data, and IoT solutions that automate operational workflows and deliver real-time insights.

I led a proof of concept for real-time IoT temperature monitoring using a three-stage Microsoft Fabric RTI pipeline, detecting anomalies and triggering alerts within seconds. I also built a multi-agent system in Copilot Studio for technician assignment, work orders, and Teams-based approvals.

I've contributed to a Python and Django health analytics tool for demand forecasting and allocation, and built dataset upload, editing, export, mapping, and reporting features. Previously at Mroads, I developed an Azure OpenAI-powered article-to-audio pipeline and a fault-tolerant multi-engine TTS system with dynamic fallback.

My projects span RAG chatbots, cross-lingual offensive-language classification, and credit-card fraud detection. I enjoy applying machine learning, semantic search, and data engineering to build practical, accurate systems.