Senior Application Developer @ AI-4-AI Lab, Penn Medicine, University of Pennsylvania

I'm a software engineer specializing in AI/ML applications for healthcare, building production systems that bridge clinical research and cutting-edge artificial intelligence. Currently leading development on the Observer platform for clinical observation and research data management.

• AI/ML Engineering: Computer vision, NLP, LLMs, and machine learning pipelines for clinical applications
• Agentic Development: Building autonomous AI systems and LLM-powered agents for healthcare workflows
• Fullstack Development: Versatile across tech stacks - backend (Python, Node.js, Go) and frontend (React, Vue, Next.js)
• Healthcare Technology: De-identification systems, clinical data platforms, and FAIR repositories
• Research Software Engineering: Translating complex AI research into scalable production systems

• Large Language Models: LLM application development, prompt engineering, agentic workflows
• Computer Vision: Video understanding, object detection, privacy-preserving visual AI
• Natural Language Processing: Clinical text processing, PHI detection, speaker identification
• Multimodal AI: Video question answering, audio-visual analysis in healthcare
• Healthcare Informatics: Clinical data privacy, FAIR data repositories, clinical workflow optimization

• Mopidevi, S., Jang, K.J., Alasaly, B., Pugh, S., Park, J., Batugo, A., Hwang, S., Eaton, E., Mowery, D.L., & Johnson, K.B. (2025). "MedVidDeID: Protecting Privacy in Clinical Encounter Video Recordings." Journal of Biomedical Informatics, 170. DOI

• Johnson, K.B., Alasaly, B., Jang, K.J., Eaton, E., Mopidevi, S., & Koppel, R. (2026). "Observer: Creation of a Novel Multimodal Dataset for Outpatient Care Research." Journal of the American Medical Informatics Association, 33(2), 424-433. PMC

• Park, J., Jang, K.J., Alasaly, B., Mopidevi, S., Zolensky, A., Eaton, E., Lee, I., & Johnson, K. (2025). "Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models." Proceedings of the AAAI Conference on Artificial Intelligence, 39(19), 19821-19829.

• Zolensky, A., Jang, K.J., Sabin, J., Hartzler, A., Alasaly, B., Mopidevi, S., Liberman, M., & Johnson, K. (2025). "Speaker Role Identification in Clinical Conversations." Biocomputing 2026: Proceedings of the Pacific Symposium, 144-157.

• Jang, K.J., Bhatti, S., Pugh, S., Maduno, C., Sridhar, S., Mopidevi, S., Eaton, E., & Johnson, K. (2025). "Towards a Real-time Clinical Agenda Setting System for Enhancing Clinical Interactions in Primary Care Visits." Workshop on Large Language Models and Generative AI for Health at AAAI 2025.

📖 Full Publication List on Google Scholar

• LLM & Agentic AI: Building autonomous AI agents and LLM-powered systems for clinical workflows
• AI/ML Research: Computer vision, multimodal models, and NLP for clinical applications
• Clinical Data Pipelines: Optimizing ML workflows on Databricks for healthcare research
• Privacy-Preserving AI: Building FAIR-compliant data repositories with automated de-identification
• Healthcare Software: Observer platform development and cross-lab research collaboration tools

When I'm not building AI systems, I'm exploring the cosmos - astrophysics, cosmology, and the fundamental questions about our universe.

Senior Application Developer building AI/ML systems for healthcare innovation