Built LLM-powered chatbots for real-time, sentiment-aware user interaction
Developed RAG-based systems for document intelligence and knowledge retrieval
Delivered AI-driven automation tools to enhance operational efficiency
Developed an AI-powered road safety risk model integrating:
Time-series forecasting (ARIMA, LSTMs)
Classification models
Synthetic data generation
This solution established a new benchmark for AI-driven risk assessment in the public sector, enabling improved safety planning and policy decisions.
Designed and implemented machine learning models for aircraft engine diagnostics, leveraging anomaly detection and supervised learning techniques.
Reduced operational downtime by 15%
Improved early fault detection and maintenance planning
Enabled data-driven reliability optimization