Summary
Dhaval Salwala is a research engineer specializing in machine learning and extreme-scale computing with 8 years of software and research experience, currently driving incremental and distributed forecasting solutions at IBM Research Ireland. He has built open-source libraries (SAIL for incremental learning and MoreUtils for compressed data bridging) and implemented Spark+Ray pipelines to scale time-series ML in production-like environments. Previously he designed multimodal computer vision and knowledge-graph pipelines for large-scale video analytics and real-time complex event processing at the Insight Centre, combining object detection, tracking, scene graphs and openCypher-driven query engines. Comfortable across MLOps/AIOps, CI/CD, and cloud deployments, he blends systems engineering with research rigor—often collaborating in EU-funded consortia and publishing production-ready code. Notably, his work spans both low-latency streaming microservices and model-parallel distributed training, reflecting a rare mix of enterprise-grade software engineering and academic-style experimentation. Based in Dublin, he is passionate about applying reinforcement learning and big-data techniques to real-world computer vision and forecasting challenges.
8 years of coding experience
8 years of employment as a software developer
Gujarat Technological University
Primary School, Primary School at Bai Avabai High School
High School, Science, High School, Science at St. Joseph High School
Master of Science - Computer Science, Data Analytics, Master of Science - Computer Science, Data Analytics at National University of Ireland, Galway