Syed Raza
Quantitive Data & AI Engineer (Long Short Equity)
United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolSyed Raza is a Quantitative Data & AI Engineer with a decade of experience building data-driven systems and production ML for long/short equity strategies, now applying software and biomedical engineering foundations at Point72. He spent five years as a senior engineer at BenevolentAI, shaping ML-enabled drug discovery platforms, and earlier contributed full-stack features to the notable TypeDB project—improving developer UX for Graql queries and dashboard interactions. Trained as an electrical engineer with software and biomedical minors from McGill, he brings a rare blend of domain knowledge across finance, life sciences, and databases. Known for pragmatic UI/UX improvements and automation that accelerate analyst workflows, he pairs hands-on coding with a compos mentis approach to complex, interdisciplinary problems.
10 years of coding experience
7 years of employment as a software developer
High School Pre-Engineering, High School Pre-Engineering at Lahore Grammar SchoolBachelor's Degree Electrical Engineering; double minor Software and Bio-Medical Engineering, Bachelor's Degree Electrical Engineering; double minor Software and Bio-Medical Engineering at McGill University
English, Urdu, Punjabi
Github Skills (15)
javascript10
vue10
vue-jsx10
ui-components9
ui-design9
front-end-development9
web-frontend9
frontend9
uid9
edb9
web-components9
database-administration8
databases8
database8
admin8
Programming languages (8)
Github contributions (5)
typedb/typedb
Apr 2018 - Jan 2019
TypeDB: the power of programming, in your database
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:122 commits, 103 PRs, 14 pushes in 9 months
Contributions summary:Syed's contributions primarily revolved around developing and enhancing the Grakn dashboard, a key component for interacting with the TypeDB database. They implemented features to improve user experience, such as highlighting Graql query keywords and allowing users to define attribute labels, manage relationship settings, and trim unwanted characters from ask query responses. They also focused on UI improvements, including adding command shortcuts and enabling the display of URLs.
hyper-relationalknowledge-baseknowledge-graphagdagraph-theory
Irtazaraza/grakn
Apr 2018 - Jan 2019
The Knowledge Graph
Contributions:133 pushes, 138 branches in 8 months
dataminingknowledgeknowledge-graphgraphsgraph
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