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Deepak Sai Chandana

@deepaksaichandana

Message

I build multi-agent AI systems that automate triage, remediation, and retrieval.

India

Message

At GlobalLogic supporting Google, I architected a Buganizer multi-agent intelligence system that automated triage across 500K+ incident logs at 93.2% accuracy, reducing MTTR from three days to under four minutes. I also delivered GenAI copilot capabilities for OneHub and Testcraft used by 2,000+ engineers.

I've built GraphRAG, autonomous code-remediation, and distributed LLM fine-tuning systems using LangGraph, PyTorch, FastAPI, vector databases, and cloud ML platforms. My work combines production AI engineering with measurable gains in reliability, throughput, customer resolution, and developer productivity.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

GlobalLogic

Aug 2025 - Present (1 year 1 month)

Architected the Buganizer Multi-Agent Intelligence System using LangGraph, Gemini/Vertex AI, and FAISS, automating issue triage across 500K+ incident logs with 93.2% accuracy. Engineered the CSAT Sentiment Agent and built an automated code governance framework, saving 200+ developer debugging hours per month.

LangGraph Gemini Vertex AI Faiss Transformers LLM fastAPI Ragas Python

Machine Learning & Data Science Intern

Fresh Gravity Software Services

Jun 2023 - Sep 2023 (3 months)

Developed an end-to-end churn prediction pipeline on Azure ML across 2M+ records using XGBoost, boosting AUC-ROC from 0.76 to 0.89. Extracted top churn drivers using SHAP and automated feature engineering in PySpark, lifting retention targeting by 18%.

Azure ML XGBoost SHAP PySpark Python