Manh Dinh
Waterloo, Ontario, Canada
Summary
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RockstarManh Dinh is a Computer Science student at the University of Waterloo with three years of hands-on software engineering experience across systems, ML acceleration, and zero-knowledge tooling. He has interned at cutting-edge companies—contributing to neural inference performance on Untether AI’s speedAI chips, building DBMS testing and benchmarking at Kùzu, and developing tooling for an OpenVM zero-knowledge VM at Axiom. Currently working with Waabi and interning at Genesis Molecular AI, he blends low-level performance optimization with practical backend and infrastructure skills. Earlier roles include building IAM-enabled APIs for a data-labeling platform and mentoring an Olympiad programming team, reflecting both product and teaching instincts. Comfortable across performance-critical stacks and research-adjacent projects, he brings a pragmatic engineering approach informed by competitive programming and academic rigor.
3 years of coding experience
Github Skills (27)
property-graph10
nosql10
graph10
spotify-api10
graph-database10
vector10
neo4j10
graphdb10
embeddable10
cypher10
embedded10
full-text-search10
database10
vector-search9
extensibility9
Programming languages (4)
Github contributions (5)
manh9203/ldbc_finbench_transaction_impls
Jan 2024 - Feb 2024
Contributions:7 pushes in 8 days
manh9203/solar-weather
Jun 2023 - Jun 2023
Contributions:7 pushes, 2 branches in 1 day
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