Summary
Sarthak Garg is a data science leader with eight years’ experience building and shipping AI solutions across fintech, consumer analytics, and research settings, now leading Customer Data Science at Hawk in Munich. He combines hands-on model development (text, vision, graphs) with production deployment and core backend work in Python and Java, having delivered AML models and client PoCs for banking and fintech. His academic background (MSc Computational Science, TUM) underpins a strong research bent—his master’s thesis produced novel unsupervised scene-graph generation models and evaluation metrics. Earlier roles range from ML internships working on recommender and NLP/graph systems to engineering at ISRO, giving him domain breadth from space systems to financial crime. He’s comfortable moving models from prototype to CI/CD production and often improves architectures (e.g., switching recurrent components to transformers) to boost performance. Colleagues know him for blending research rigor with pragmatic product delivery and a knack for extracting actionable user insights from messy data.
8 years of coding experience
6 years of employment as a software developer
Physics, Chemistry, Maths, 91%, Physics, Chemistry, Maths, 91% at Delhi Public School Ghaziabad (DPSG)
Master of Science - MS, Computational Science, 1.8, Master of Science - MS, Computational Science, 1.8 at Technical University of Munich
Bachelor of Technology, Aerospace Engineering, 8.85/10 (top 3), Bachelor of Technology, Aerospace Engineering, 8.85/10 (top 3) at Indian Institute of Space Science and Technology
English, Hindi