Summary
Jiztom Francis is a Lead Developer in DSP Applications and a PhD in Computer Engineering with a decade of hands-on experience building interpretable AI and sensor-driven systems across healthcare, energy, and industrial monitoring. He specializes in time-series forecasting, Lidar/3D sensing, and optical systems, routinely integrating ResNet and Transformer architectures with NLP-driven XAI to make models both accurate and explainable. His research-to-production track record includes a 20% RMSE reduction in energy forecasting and a 15% improvement in real-time sensor testing efficiency at 3M, plus end-to-end automated data pipelines and SQL integrations. Comfortable across Python, MATLAB, TensorFlow/PyTorch, and cloud platforms, he bridges embedded firmware, vision systems, and scalable ML deployments. Beyond research, he has founded impact-driven engineering projects—bringing solar and sanitation infrastructure to rural Sierra Leone—and designs practical embedded and GNSS/CAN solutions for agricultural sensing and robotics.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Computer Engineering, Doctor of Philosophy - PhD Computer Engineering at Iowa State University
High School Civil Engineering, High School Civil Engineering at SBOA mat. Hr. Sec school
Bachelor's degree Electrical Electronics and Communications Engineering, Bachelor's degree Electrical Electronics and Communications Engineering at Loyola Icam college of engineering
French, Malayalam, Tamil, Hindi, English, German, Telugu, Malayalam, English, Tamil, Hindi, French, German