Summary
Kaustav Mukherjee is a Senior Principal Applied AI Scientist and engineering leader based in Bengaluru with eight years of focused experience building GenAI, agentic AI, multimodal NLP and computer vision systems for enterprise impact. He blends hands-on research and coding with product-focused engineering—designing containerized, scalable GenAI microservices and CICD/Kubernetes pipelines that move bleeding-edge models into production. His work has driven measurable business outcomes in healthcare claims automation (30% better triage accuracy, 40% faster document processing) and spans speech, image, SAR and satellite analytics for urban and agricultural use cases. A repeat R&D contributor at major tech firms, he helped deliver early under-screen AI camera enhancements at Huawei using GAN-based photo enhancement and publishes/implements novel loss functions and model compression for edge deployment. Active in open-source and community projects (Apache MiNiFi contributor, Python Software Foundation member) he also experiments with distributed PyTorch, CycleGAN style transfer and Kubeflow for large-scale model training. He combines deep algorithmic expertise in graph neural nets, knowledge graphs and prompt engineering with pragmatic product metrics and AI ethics guardrails to create production-ready, high-ROI AI solutions.
7 years of coding experience
13 years of employment as a software developer
Bachelor of Technology (BTech), Computer Science, Bachelor of Technology (BTech), Computer Science at West Bengal University of Technology, Kolkata
English, Chinese