Summary
Prashant G is a software engineer with 8 years of experience specializing in machine learning, big data architectures and cloud-native production systems, currently building LLM and ML pipelines at Bnewable. He drove a 20% uplift in trading profits and cut risk exposure by 12% at XSOR Capital by designing ML-driven strategies and rigorous signal filters, and has strong hands-on experience with Databricks, Delta Lake and Medallion-style ETL. Previously he scaled backend AI systems at Licious—moving a company-wide analytics stack to Redshift, archiving 50M MongoDB documents to S3 with zero latency impact, and building distributed model storage on HDFS. Comfortable across Python, Scala, Airflow, Kubernetes and Azure/AWS services, he blends research-driven deep learning study with practical low-latency REST APIs for real-time inference. Based in Mechelen (Belgium) and trained through multiple European master's programs, he combines quantitative rigor with production-grade engineering to bridge finance and health-tech applications.
8 years of coding experience
5 years of employment as a software developer
Big data management and Analytics, Computer Science, Big data management and Analytics, Computer Science at Universitat Polit��cnica de Catalunya
Master's degree, Data science, Master's degree, Data science at ULB
Intermediate, Science, 86.6%, Intermediate, Science, 86.6% at Sunbeam School Bhagwanpur varanasi
Master's degree, Deep learning, Master's degree, Deep learning at Università degli Studi di Padova
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Université libre de Bruxelles
Bachelor of Technology, Computer Science, 8.56, Bachelor of Technology, Computer Science, 8.56 at Thapar Institute of Engineering and Technology
English