Misrab Faizullah Khan
Founder Data & Engineering
United Kingdom
Summary
👤
Senior🎓
Top SchoolMisrab Faizullah Khan is a founder and engineering leader with 12 years of experience building data-driven, cloud-native platforms and scaling teams to enterprise impact. He led GetGround’s engineering and data efforts—designing a Golang microservice backend on GCP, React frontends, and dbt/Python pipelines—helping the company scale to 100+ people and manage billions in property value. Previously he ran data science at Gojek/GoTo Group, growing a 30+ person distributed team and shipping high-throughput systems for surge pricing, allocation, and recommendations at unicorn scale. His background spans optimisation and experimentation work at TripAdvisor and Stanford, and he has concrete open-source contributions to cvxpy demonstrating applied convex optimisation techniques for QCQP, sensitivity analysis and mixed-integer problems. Comfortable shifting between hands-on engineering, product strategy, and team building, he pairs strong academic training in AI and CS from Stanford with practical experience shipping production ML and data infrastructure. A less obvious thread through his career is a pattern of translating advanced optimisation research into production systems that drive measurable revenue and operational scale.
12 years of coding experience
10 years of employment as a software developer
IB, IB at UWC South East AsiaBachelor of Arts (BA) Economics Computer Science, Bachelor of Arts (BA) Economics Computer Science at Stanford University
English, French, Chinese, Italian, Portuguese, Turkish, Indonesian, Urdu, Hindi
Stackoverflow
1reputation
110reached
0answers
1question
Github Skills (7)
cvxpy10
python10
optimization10
numpy9
scipy6
google-cloud-platform6
google-app-engine6
Programming languages (7)
Github contributions (5)
cvxpy/cvxpy
Oct 2013 - Nov 2013
A Python-embedded modeling language for convex optimization problems.
Role in this project:
Data Scientist
Data ScientistContributions:9 commits in 22 days
Contributions summary:Misrab contributed example files demonstrating the use of the `cvxpy` library for solving various convex optimization problems. These examples include solving quadratic programming problems (QCQP), matrix games, Chebyshev center calculations, and norm approximation problems. The contributions also address sensitivity analysis and the use of mixed integer programming in the context of a Cheshire Tomography problem, showcasing the user's application of optimization techniques.
pythonconvex-optimizationproblemsoptimizationconvex
misrab/misrab.github.io
Apr 2015 - Apr 2018
Contributions:62 pushes, 2 branches in 3 years
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