Baran Dilber is a founder and technology leader with over a decade of experience building web products, startups and telemedicine systems, currently co-leading Grupanya from Amsterdam. Trained in molecular biology and biomedical engineering at Boğaziçi University, he blends life-sciences insight with hands-on software and product leadership—evident from an Ericsson-sponsored EKGNET telemedicine prototype and an unfinished PhD in biomedical engineering. He started one of Turkey’s early web agencies (Plus V.2), helped define Mynet’s social platform strategy as a business unit manager, and later co-founded Grupanya which closed a Series A with Intel Capital. A pragmatic engineer, he contributes to open-source backend systems such as QuantConnect’s Lean engine, focusing on core trading logic, logging and live data feeds. He pairs strategic consulting experience across media and brand agencies with deep technical ownership, able to move from device-level biomedical projects to large-scale consumer marketplaces. Colleagues describe him as an entrepreneurial problem-solver who pivots comfortably between research-driven projects and high-growth product execution.
11 years of coding experience
8 years of employment as a software developer
Highschool, Highschool at Istanbul Erkek Lisesi
PhD (Incomplete), Biomedical Engineering, PhD (Incomplete), Biomedical Engineering at Boğaziçi University
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Role in this project:
Back-end Developer
Contributions:12 commits, 5 PRs, 11 comments in 17 days
Contributions summary:Baran's contributions focused on modifying core backend logic and data structures within the Lean algorithmic trading engine. They implemented changes to the logging system, refactoring the `Log` class, and added functionality for redirecting log output. Furthermore, the user was involved in refactoring the `SecurityPortfolioManager`, `SecurityTransactionManager`, and `SecurityHoldings` classes, demonstrating their involvement in the core financial trading logic. Finally, the user made updates to the data feeding mechanisms, specifically in the `LiveTradingDataFeed` class.
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