Jitender Mutreja

I am a software engineer with hands-on experience building ML-driven analytics, RAG systems, and scalable data pipelines. At IDCUBE Systems I built a LangChain + ChromaDB RAG pipeline powering an LLM-SQL chatbot and delivered multiple production dashboards.

I designed a Z-score anomaly detection system across 45+ parameters for a Vulnerability Dashboard and optimized query performance for a 14M+ record Alarm Dashboard using a dual-query strategy and efficient pagination.

I contributed to real-time ETL design by implementing APIs, staging-table ingestion, and data transformation logic, and led cross-functional testing and delivery for four critical dashboards across two product releases.

My projects include narrative-intelligence work converting psychological theory into quantifiable features, producing an augmented Logistic Regression that achieved 80.1% accuracy and perfect precision for high-confidence threat detection. I work primarily with Python, SQL, ML frameworks, and cloud-native deployment tools.