Summary
Abhrajit Laskar is a Senior Powertrain Analyst and seasoned software developer with 12 years bridging computational fluid dynamics, automotive systems, and machine learning to deliver engineering and data-driven solutions. He combines deep academic rigor—PhD-level expertise in theoretical and computational physics and multiple high-impact publications—with hands-on experience optimizing simulation code (C, Python/Cython, OpenMP) and improving CI processes in automotive projects. At Volvo Trucks he has led software projects and scrum teams, identified process bottlenecks, and proposed resource-efficient alternatives that raised software quality and lowered development costs. His ML work spans recommender systems, NLP, time-series and CV, including building retrieval-and-ranking pipelines and GRU sequence models for large-scale retail data. Colleagues describe him as purpose-driven, user-focused and business-savvy—equally comfortable profiling 100GB simulation outputs or translating model insights into product decisions. Based in Gothenburg, he applies sustainability-minded engineering to real-world vehicle and embedded-system challenges.
12 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - Ph. D. Theoretical and Computational Physics, Doctor of Philosophy - Ph. D. Theoretical and Computational Physics at The Institute of Mathematical Sciences, Chennai
Bachelor of Science - BS Physics, Bachelor of Science - BS Physics at Ramakrishna Mission Vidyamandira
English, Bengali, Hindi, Swedish