Shubhankar Agrawal is an AIML Modeller with nine years of experience building production-grade AI and data systems across finance and cloud environments, currently based in Singapore. He has delivered measurable business impact—3x campaign uplifts, 30% higher customer satisfaction, and automation that saved hours of manual work—by architecting recommendation engines, RAG-powered LLM agents, and standardized ML frameworks. Comfortable from low-level engineering to orchestration, he has shipped pipelines and agentic tools on AWS, Kubernetes and Terraform, and deployed models with monitoring and A/B testing. An active open-source author, he published Smart Segment (Python) and Hypors (Rust), reflecting a cross-language curiosity that complements his academic training in Data Science and Computer Science from NUS and HKU. Outside work he blends analytical curiosity with creativity—quizzes, linguistics and fine arts—which surfaces in both pedagogy and product-minded experimentation.
9 years of coding experience
5 years of employment as a software developer
The University of Hong Kong (HKU)
Certificate French Language and Literature, Certificate French Language and Literature at Université catholique de Lyon
High School Diploma Mathematics and Computer Science, High School Diploma Mathematics and Computer Science at A.M.M Matriculation Higher Secondary School
Master's degree Data Science and Artificial Intelligence, Master's degree Data Science and Artificial Intelligence at National University of Singapore
Tianjin Interflow Program Computer Engineering, Tianjin Interflow Program Computer Engineering at Tianjin University
Semester Exchange Computer Science, Semester Exchange Computer Science at Nanyang Technological University Singapore
Contributions:2 PRs, 12 pushes, 3 branches in 3 years
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