Jaipur, Rajasthan, India
Enhanced ML-based attendance tracking models, improving prediction accuracy from 60% to 70% across 500+ outlets. Maintained and optimized data warehouse infrastructure to support large-scale analytics and business reporting. Optimized Apache Airflow ETL workflows, reducing pipeline latency by 30%, and supported ELK Stack-based monitoring for real-time system observability. Evaluated and benchmarked 10+ AI/SLM models for automated unit test generation using PyTest, leveraging quantitative evaluation metrics to assess model performance. Conducted comparative analysis of AI/SLM models for software engineering workflows, including requirement grooming, to identify effective solutions for internal development processes.