Tim Meggs
Co-founder, CEO at Low Observable Technology
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolTim Meggs is a founder and CEO with 13 years of hands-on experience building trading technology, systematic strategies, and teams across buy- and sell-side capital markets. He cut his teeth in exotic options and evolved into leading crypto HFT, market making and exchange integration efforts that scaled desks and AUM materially. A pragmatic builder and amateur coder, Tim contributes to open-source projects such as scikit-fuzzy and cryptofeed, adding numerical rigor and exchange authentication support that bridge research and production. He combines deep market microstructure intuition with practical engineering (Python, Spark, AWS) to solve sticky trade workflow and transaction analysis problems. Based in London with an MPhil from Oxford, he’s particularly focused on how human roles in trading will be engineered away—exploring distributed ledger tech and crypto-trading as the next frontier.
13 years of coding experience
11 years of employment as a software developer
MPhil Politics, MPhil Politics at University of OxfordUniversity College London
Github Skills (16)
cryptocurrency10
websocket10
python10
asyncio10
modeling9
numpy9
mathematical9
api8
binance8
apim8
trading8
cryptocurrencies7
price-data7
api-design7
stock-data7
Programming languages (2)
Github contributions (5)
bmoscon/cryptofeed
Mar 2021 - Nov 2021
Cryptocurrency Exchange Websocket Data Feed Handler
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 reviews, 6 commits, 5 PRs in 7 months
Contributions summary:Tim primarily contributed to the `cryptofeed` project by implementing and enhancing exchange data feeds. Their work included adding support for authenticated channels on the OKEx exchange and improving symbol capture. Furthermore, the user refactored the OKCoin class. The user's commits focused on integrating with the OKEx v5 API, including authentication updates and incorporating order-related functionalities.
exchangepythoncoinbaseethereumhuobi
scikit-fuzzy/scikit-fuzzy
Jun 2014 - Aug 2014
Fuzzy Logic SciKit (Toolkit for SciPy)
Role in this project:Back-end Developer
Back-end DeveloperContributions:10 commits, 1 comment in 2 months
Contributions summary:Tim primarily contributed to the `fuzzymath` module, focusing on the implementation of partial derivatives for membership functions. Their work involved adding and refining the `partial_dMF` function, which calculates partial derivatives with respect to parameters like 'sigma', 'mean', 'a', 'b', and 'c' for `gaussmf` and `gbellmf` functions. The commits show a focus on defining the function's parameters, calculations, and integrating feedback to improve code accuracy and completeness. These changes enhance the module's capabilities related to fuzzy logic operations.
pythonfuzzyfuzzy-logicscipylogic
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