James Pupalaikis

Assignment highlights

• Managed teams of up to 7 developers, both onshore and offshore, to handle multiple data migrations of 50,000+ data assets to target data environments.
• Spearheaded a team of developers to build 5 small-scale proof-of-concept pilots across different GenAI and LLM oriented use cases, resulting in a large-scale contract renewal for industrialization.
• Led development of a real-time distributed data analytics pipeline leveraging LLMs to surface customer and order fulfillment insights for a major food distributor.
• Worked with a team to improve a client helpline response tree using NLP, machine learning, and other data profiling methods.
• Developed a production-line anomaly detection deep-learning model for a large food and beverage manufacturer, analyzing a multivariate input of vibrational frequency data, temperature data, and technician feedback.
• Designed and developed an ETL pipeline using AI, NLP, and other data processing methods to build a knowledge graph of clinical semantics relating chemotherapy interactions to various nutrients and therapeutic medicines.

• Tested and validated FDA regulations for pharmaceutical prescriber platforms.
• Supported lifecycle planning and management for pharmaceutical portals.
• Planned and assessed project risks and mitigation strategies for highly regulated healthcare software.

• Collaborated with the lab group on experiment design and procedures involving differential interference imaging of blood cell and bacterial membrane fluctuations.
• Used image and video processing techniques with deep learning to classify and measure blood cell fluctuations using neural networks.
• Designed algorithms to determine membrane stiffness from cell fluctuation properties.
• Designed and executed simulations to determine bilayer physical properties.
• Presented a research talk as a requirement of an undergraduate research grant program.