Mohammad Dashti
Tehran, Iran
Summary
🤩
Rockstar🎓
Top SchoolMohammad Dashti is a technology strategist and data-driven organizational leader with 14 years of industry experience and nearly two decades in academia, holding a PhD in Management of Technology. He has led data and analytics transformation programs across banking, logistics, and industrial software, architecting capability-based roadmaps and productized services that turned pre-sales into sustained revenue streams. As Head of Data and Analytics at Norma Group and advisor roles across firms, he blends strategic planning with hands-on delivery—designing data governance, management, and analysis products to embed data-driven decision making. He also contributes to open-source backend work on high-profile projects like the MongoDB core, improving aggregation explainability and disk-spill estimations, reflecting deep technical chops in databases and performance. Based in Tehran, Mohammad frames organizational value creation as a personal mission, applying academic rigor to practical, stakeholder-focused innovation.
14 years of coding experience
1 year of employment as a software developer
Amirkabir University of TechnologyDoctor of Philosophy (PhD), Management of Technology, Doctor of Philosophy (PhD), Management of Technology at Allameh Tabataba'i University
English, Arabic
Stackoverflow
755reputation
105kreached
20answers
10questions
Github Skills (22)
c-language10
mongodb-database10
aggregation-framework10
cprogramming-language10
mongodb10
query-optimization9
performance-optimization9
database-design9
optimisation9
database-optimization9
optimization9
nosql8
profiler6
julia6
instrumentation6
Programming languages (17)
Github contributions (5)
mongodb/mongo
Apr 2021 - Jan 2023
The MongoDB Database
Role in this project:
Back-end Developer & Database Engineer
Back-end Developer & Database EngineerContributions:49 commits, 1 branch in 1 year 9 months
Contributions summary:Mohammad's primary contribution involved enhancing the MongoDB database's aggregation framework. Specifically, they worked on improving the `explain` output for the `$lookup` stage by incorporating execution statistics for the inner side of the lookup operation. Further contributions included the implementation of size approximations and improvements to document size estimations in the context of spilling to disk, particularly for the `HashAgg` stage. They also made improvements to update index data path matching code.
mongodb-databasec-plus-plusdatabasemongodbnosql
mongodb/genny
May 2022 - Jun 2022
🧞♀️ Grants 3 wishes. As long as those wishes are to generate load 🧞♂️
Contributions:3 reviews, 24 commits, 1 PR in 1 month
javascriptgrantslongwishes
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