Summary
Aviral Jain is a Data Scientist with eight years of experience combining software engineering rigor and statistical insight, currently applying ML solutions at Rio Tinto in Queensland. He has a strong background in embedded and high-assurance systems from roles at Boeing and research internships (CSIRO, NCSA) where he optimized deep learning models for resource-constrained hardware like Raspberry Pi, EdgeTPU and NVIDIA Jetson. At The University of Queensland he bridged research and production as a software engineer on speech transcription and ASR projects, demonstrating fluency across Python, C++ and model deployment toolchains. Comfortable with HPC workflows and model interoperability (TensorFlow, PyTorch, ONNX, TensorRT, OpenVINO), he focuses on turning research prototypes into efficient, tested systems. Notably, his trajectory spans formal methods exposure and hands-on inference optimization—an uncommon mix that helps deliver reliable ML in constrained and safety-sensitive environments.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering and Bachelor of Mathematics (BE(Hons)/BMath) Computer Software Engineering, Bachelor of Engineering and Bachelor of Mathematics (BE(Hons)/BMath) Computer Software Engineering at The University of Queensland
Hindi, Greek