Ali Ebrahim
Chief Technology Officer at Delfina
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolAli Ebrahim is a CTO and co-founder with 15 years of experience translating academic rigor into production-grade systems, currently building Delfina’s technology for pregnancy care from the San Francisco Bay Area. Trained as a chemist at Caltech and holding a PhD in Bioengineering from UCSD, he spent nearly five years at Google as a Tech Lead on Counter Abuse Technologies, architecting systems that process millions of queries per second to protect billions of users. He combines deep computational biology roots—contributing to widely used open-source projects like COBRApy—with large-scale backend and leadership experience, having led teams of 16 engineers across continents. Comfortable moving between low-level scientific tooling (Python↔MATLAB bridges, solver integrations) and high-throughput distributed systems, Ali is equally at home refactoring build pipelines and driving product-grade reliability. Outside work he balances technical curiosity with a soft spot for his household pets, often choosing between walking the dog or reading with the cat.
15 years of coding experience
12 years of employment as a software developer
University of California San DiegoCalifornia Institute of Technology
Github Skills (15)
matlab10
zeromq10
python10
cplex9
numpy9
scipy9
gurobi9
windows9
json9
sbml9
ipython8
linear-programming8
sparse-matrix8
build-automation8
mixed-integer-programming7
Programming languages (22)
Github contributions (5)
opencobra/cobrapy
Aug 2012 - Jul 2016
COBRApy is a package for constraint-based modeling of metabolic networks.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 releases, 660 commits, 65 PRs in 4 years
Contributions summary:Ali contributed to the codebase by fixing bugs and making minor adjustments to improve the functionality of the COBRApy library. The changes included small bug fixes, variable naming corrections, and the removal of redundant absolute import statements. The user also worked on code related to specific solvers, such as CPLEX, GLPK, and Gurobi, adding functions like 'get_objective' to improve the extraction of objective values. Additionally, the user implemented support for SBML Level 3 with FBC v2, enhancing the library's compatibility with this standard.
pythonsystems-biologysimulationsbml-simulationbioinformatics
arokem/python-matlab-bridge
Mar 2014 - Mar 2016
A simple Python => MATLAB(R) interface and a matlab_magic for ipython
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:19 commits, 7 PRs, 44 comments in 1 year 11 months
Contributions summary:Ali primarily contributed to the Python-MATLAB bridge project by enhancing the interaction between Python and MATLAB. They implemented a `--silent` option to control the display of MATLAB output within the IPython environment. They also added Windows support, including building and integrating the messenger component and addressing platform-specific issues. Furthermore, the user refactored the build and deployment scripts for the MATLAB messenger and incorporated features for supporting NumPy arrays and sparse matrices.
pythonmatlabmagicoctaveipython
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