Rahul Shrestha
Research Collaborator
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolRahul Shrestha is a research-focused machine learning engineer with 9 years of experience bridging causal inference, large language models, and applied ML systems. Currently collaborating on causality + LLM research at the University of Toronto after roles at TUM and Helmholtz Munich, he combines hands-on model development (transformers, diffusion models) with open-source tooling for single-cell analysis. He has a strong academic grounding from TUM and Jacobs University and practical product experience building data pipelines and analytics as the first hire on a startup data team. Rahul’s background spans research, teaching, and engineering—he regularly tutors advanced ML courses and has contributed algorithmic tooling for large-scale dataset hashing. Based in Munich, he brings a pragmatic research mindset that leans toward reproducible, production-ready ML solutions.
9 years of coding experience
3 years of employment as a software developer
Master's degree, Informatics (Computer Science), Master's degree, Informatics (Computer Science) at Technical University of MunichBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Jacobs University BremenHigh School Diploma, High School Diploma at Rato Bangala School
English, Nepali, German
Github Skills (89)
data-stream10
transformers10
vector-search10
python10
image-processing10
testing10
vector-database10
datasets10
mlops10
deep-learning10
transcriptomics10
real-time-data10
fairness-ml10
lora10
graphical-models10
Programming languages (4)
Github contributions (5)
rahulbshrestha/rahulbshrestha.github.io
May 2017 - Feb 2021
Contributions:27 pushes, 1 branch in 3 years 9 months
rahulbshrestha/Hub
Jul 2021 - Nov 2021
Fastest dataset optimization and management for machine and deep learning. Stream data real-time & version-control it. http://activeloop.ai
Contributions:49 pushes in 3 months
pytorchversion-controlreal-time-datadata-sciencedeep-learning
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