Jamal Rahman
Senior Machine Learning Engineer at Spotify
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolJamal Rahman is a Senior Machine Learning Engineer based in London with 11 years’ experience building NLP, information retrieval, and LLM-driven systems across enterprise and product-focused teams. He’s a full-stack MLE currently at Spotify after leading NLP and LLM efforts at Builder.ai and earlier applying encoder generative LLMs and hard-imbalanced learning solutions at IBM to lift production F1 by 20%. Jamal combines research-grounded model work with production engineering—designing trend-inference pipelines for social media, deploying GPT-3 integrations, and shipping tooling such as an S3 interface library. He excels at turning cutting-edge language models into robust, scalable features and has a track record of solving messy real-world data problems that go beyond benchmark performance.
11 years of coding experience
3 years of employment as a software developer
Birchwood High SchoolMaster of Science (MSci) Computer Science, Master of Science (MSci) Computer Science at University of Birmingham
Stackoverflow
11reputation
84reached
0answers
2questions
Github Skills (38)
chatgpt10
python10
ai10
langchain9
llm9
typescript9
generative-ai9
gemini9
openai9
anthropic9
pydantic9
open-source8
tf-idf8
nvidia7
gateway7
Programming languages (2)
Github contributions (5)
JamalRahman/Video-Game-Recommender
Mar 2020 - Nov 2020
Find A Game! Video Game recommendation system & genre-exploration using vector embeddings
Contributions:45 commits, 64 PRs, 97 pushes in 7 months
recommendation-systemembeddingsrecommender-systemvideo-game
JamalRahman/hybridtfidf
Jun 2020 - Jun 2021
A python implementation of the Hybrid TF-IDF algorithm
Contributions:1 release, 30 commits, 1 PR in 1 year
pythontf-idf
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