Lena Kleyner is a product and engineering leader with eight years of experience building secure, scalable software and leading cross-functional teams from hands-on development to product strategy. Currently Director of Product for SCA at Mend.io, she progressed through senior product roles at the company after a strong engineering background in crypto, real-time and embedded systems. Previously she led the Catalyst open-source crypto trading platform at Enigma MPC and contributed backend improvements to exchange integration and order execution—demonstrating practical knowledge of financial data handling and API reliability. Her career blends low-level systems expertise from Rafael and Qwilt with decentralized protocol work at Enigma, giving her a rare combination of product strategy and deep technical fluency. Based in Israel and trained in computer science and bioinformatics at the Technion, she’s equally comfortable defining roadmaps and diving into repository code to unblock delivery.
8 years of coding experience
16 years of employment as a software developer
Bachelor of Science - B.Sc Computer Science and Bioinformatics, Bachelor of Science - B.Sc Computer Science and Bioinformatics at Technion - Israel Institute of Technology
An Algorithmic Trading Library for Crypto-Assets in Python
Role in this project:
Back-end Developer
Contributions:138 commits, 9 PRs, 115 pushes in 9 months
Contributions summary:Lena's contributions primarily involve modifications to the `catalyst/marketplace` directory, suggesting involvement in the algorithmic trading library's marketplace features. They integrated and refined components related to the exchange, including a focus on managing order execution and handling potential timeout scenarios. The changes include adjustments to handling candlestick data and integrating with exchange APIs, indicating efforts to improve data handling and API integration within the crypto-asset trading library. The modifications suggest improvements to the handling of financial data for use in trading strategies.
The Enigma Worker Peer-to-Peer (P2P) package written in Node.js based on libp2p-js
Contributions:1 push in 1 day
enigmajs-libp2pnode-jsp2pjavascript
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Lena Kleyner - Director Of Product, SCA at Mend.io