Melissa S
Linkedin Recruiter Hiring Devops, Data Scientist, Python, AI ML Roles For Multiple Clients
London, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolMelissa S is a seasoned technical recruiter based in London with 11 years of experience placing DevOps, Data Science, Python, and AI/ML talent across the UK and EMEA. Currently with Recruiter.com, she partners with startups and mid-size firms to source hard-to-find engineers and supports visa sponsorship and relocation processes—combining hands-on candidate advocacy with employer-side advising. Previously as an IT headhunter, she built deep networks across EMEA and developed resume and career guidance services that help international candidates navigate moves to the UK. Unusually for a recruiter, she has contributed code to the popular Google/Flax JAX library, fixing variable-handling bugs and adding a Sequential module, which gives her a rare technical credibility when assessing ML engineering candidates.
11 years of coding experience
King's College London
Github Skills (6)
machine-learning10
jax10
python10
flax10
neural-network9
linear-regression8
Programming languages (1)
Github contributions (5)
google/flax
Jan 2022 - Jul 2022
Flax is a neural network library for JAX that is designed for flexibility.
Role in this project:
ML Engineer
ML EngineerContributions:15 reviews, 14 commits, 9 PRs in 5 months
Contributions summary:Melissa contributed to the Flax library by addressing errors related to variable handling within the module application process, specifically preventing accidental nesting of parameters. They fixed string formatting in error messages and implemented the Sequential module, enhancing the library's functionality for building neural network architectures. Additionally, the user updated and improved example code related to linear regression, demonstrating their understanding of the library's usage in a practical context.
jaxneural-network
melissatan/coursera-datascience-jhu
Mar 2015 - Jan 2019
Contributions:34 pushes in 3 years 10 months
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