Ayushmaan Seth
Quantitative Developer
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAyushmaan Seth is a quantitative developer and backend engineer with eight years of experience building scalable, fault-tolerant systems across finance and consumer tech, including roles at JPMorgan Chase, Amazon Prime Video, and a current position at Millennium. He combines production-grade backend engineering with a strong interest in distributed systems and end-to-end SDLC, having designed TVOD infrastructure at Prime Video and moved into low-latency, quant-focused engineering. His open-source work at The Alan Turing Institute on time-series tooling shows a research-minded approach to practical problems, and he pairs that with hands-on experimentation—he enjoys deliberately breaking systems to improve their resilience. Based in London, he is rounding out his quantitative toolkit with an MSc in Financial Engineering while retaining a background in applied research, mentorship, and developer community engagement.
8 years of coding experience
5 years of employment as a software developer
High School Senior Secondary, High School Senior Secondary at Delhi Public School - FaridabadMSc in Financial Engineering, Financial Mathematics, MSc in Financial Engineering, Financial Mathematics at WorldQuant UniversityUniversity College London
English, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (33)
anomaly-detection10
data-mining10
machine-learning10
time-series10
forecasting10
ai10
scikit-learn10
data-science9
testing9
continuous-integration9
aws9
sktime9
developer-tools8
python8
deep-learning8
Programming languages (5)
Github contributions (5)
Ayushmaanseth/sktime
Jan 2020 - Oct 2020
A scikit-learn compatible Python toolbox for machine learning with time series
Contributions:57 pushes, 8 branches, 5 comments in 8 months
pythondata-sciencetoolboxmachine-learningpython-toolbox
Ayushmaanseth/BlackBox_Insight
Mar 2019 - Aug 2019
Interpreting and Explaining Artificial Intelligence
Contributions:16 commits, 2 PRs, 12 pushes in 4 months
nlpdeep-learningartificialmachine-learningnatural-language-processing
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