Graph Neural Networks for Traffic Forecasting: Designed and implemented advanced Graph Neural Network architectures to predict and analyze traffic patterns, improving forecast accuracy and efficiency.Cloud-Based ML Pipelines: Developed and deployed scalable machine learning pipelines on cloud platforms, automating data processing and model training for large-scale applications.LLM Practitioner for Time Series: Leveraged Large Language Models (LLMs) to enhance the analysis and… Show more Graph Neural Networks for Traffic Forecasting: Designed and implemented advanced Graph Neural Network architectures to predict and analyze traffic patterns, improving forecast accuracy and efficiency.Cloud-Based ML Pipelines: Developed and deployed scalable machine learning pipelines on cloud platforms, automating data processing and model training for large-scale applications.LLM Practitioner for Time Series: Leveraged Large Language Models (LLMs) to enhance the analysis and forecasting of time-series data, utilizing cutting-edge techniques to extract insights and optimize performance. Show less

Deep learning based traffic forecasting

Python/Django software engineer. working on network management domain.