Research Lab
Technical deep-dives into AI/ML systems, medical imaging research, industrial applications, and lessons learned from bridging academia and industry.
Learn how we reduced unplanned downtime by 20% using VAE-LSTM pipelines. Deep dive into the architecture, challenges, and real-world deployment of industrial ML systems.
How we achieved 96% accuracy in brain tumor classification using EfficientNetB0 and dual-head neural networks. Complete methodology and clinical validation results.
Discover how we implemented causal inference to identify root causes and reduced false positives by 60%. A paradigm shift from reactive alerts to proactive diagnosis.
Practical guide to adapting LLMs for specialized business use cases. From data preparation to deployment strategies and performance optimization.
Transitioning from batch processing to real-time ML inference using Apache Kafka and FastAPI. Architecture patterns and production lessons learned.