Kaleem Peeroo
Research Student at City St George’s, University of London
Stony Stratford, England, United Kingdom
Summary
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Senior🎓
Top SchoolKaleem Peeroo is a research-focused machine learning scientist with 8 years of experience applying statistical modelling and predictive ML to performance evaluation of distributed systems. Based at Stony Stratford, he has led large-scale experimental campaigns, generating and analysing thousands of tests to produce high-fidelity datasets used to build models (including XGBoost and neural nets) that achieve R² ≈ 0.99 for DDS latency and throughput prediction. His work blends rigorous hypothesis testing and time-series/outlier analysis with practical engineering—automating hyperparameter tuning with Optuna and prototyping network protocols in Go/libp2p for Ethereum data availability simulations. He’s published academic findings that surfaced counterintuitive multicast effects and often finds that models extrapolate better than interpolate, reflecting a thoughtful experimental mindset. A seasoned educator and mentor, Kaleem has taught programming and systems to hundreds of students, and prefers efficient developer workflows (Neovim, Jupyter) while collaborating across research and industry teams.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at City, University of London
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (19)
part-of-speech8
bulbs8
simulator7
simulation7
kademlia7
nlp7
language-processing6
natural-language-processing5
machine-learning5
voting5
named-entity-recognition5
api-client4
game-theory4
api4
iot3
Programming languages (7)
Github contributions (5)
Blitz3r123/PTST-Visualiser
Jan 2023 - May 2023
Analyse, summarise and visualise results produced from PTST.
Contributions:4 PRs, 118 pushes, 8 branches in 4 months
Blitz3r123/libp2p-das-datahop
May 2023 - Jan 2024
Data availability sampling protocol for libp2p
Contributions:138 pushes, 2 branches in 7 months
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