Raj is a data scientist and software engineer with experience building scalable AI systems across academia, industry, and startups. At Texas A&M University , he developed high-resolution forecasting pipelines with LSTM, Spark, and Airflow to improve greenhouse gas modeling for climate-smart agriculture. He has engineered real-time facial emotion recognition systems at Entropik, designed NLP models for legal and student support chatbots, and built fraud detection pipelines at HighRadius.
Beyond technical depth in Python, SQL, TensorFlow, PyTorch, and cloud platforms, Raj brings strong leadership and collaboration skills having led AI projects in healthcare and education, authored published research, and secured funding for chatbot deployment. Currently, he is contributing to SubjectToClimate as a IT Intern: Data & AI , applying generative AI to enhance educational resource accessibility.
