Kevin Matulef
Co-Founder & CTO at Mabel
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolKevin Matulef is a Co-Founder and CTO with 14 years of experience blending deep theoretical training in mathematics and computer science with hands-on product and engineering leadership. He co-founded and built clinical operations and HIPAA-compliant software at Calyx Health to improve primary care for seniors, then spun off an insurance marketing/Medicare automation business (Mabel). Kevin has strong backend and database expertise—he contributed to MongoDB/TokuMX sharding improvements—and has led full-stack architecture using Python, TypeScript, GraphQL, PostgreSQL, and AWS. His background spans academic research, national labs, and production systems, giving him a rare ability to translate rigorous theory into robust, operational healthcare technology.
14 years of coding experience
13 years of employment as a software developer
Ph.D Mathematics/Theoretical Computer Science, Ph.D Mathematics/Theoretical Computer Science at Massachusetts Institute of TechnologySc.B Mathematics-Computer Science, Sc.B Mathematics-Computer Science at Brown UniversityMaster of Advanced Study Mathematics, Master of Advanced Study Mathematics at Cambridge University
Stackoverflow
3,256reputation
280kreached
12answers
0questions
mongodb
top-1%
Github Skills (21)
c-language10
sharding10
mongodb-database10
cprogramming-language10
mongodb10
database-design9
optimisation9
database-optimization9
optimization9
hash8
query-optimization8
profiler6
replication6
sorting6
nodejs6
Programming languages (7)
Github contributions (5)
Tokutek/mongo
Aug 2012 - Dec 2012
TokuMX is a high-performance, concurrent, compressing, drop-in replacement engine for MongoDB | Issue tracker: https://tokutek.atlassian.net/browse/MX/ |
Role in this project:
Backend Developer / Database Engineer
Backend Developer / Database EngineerContributions:16 commits in 4 months
Contributions summary:Kevin's commits primarily focus on implementing and refining features related to sharding within the MongoDB engine, specifically addressing issues related to hashed shard keys. They modified code to accommodate pre-splitting collections with hashed shard keys, optimizing chunk movements, and fixing replacement-style updates. Their work also included adapting index suitability for queries using a FieldRangeSet, and adding the option to specify a chunk via its bounds. These changes directly impact the performance and functionality of the MongoDB sharding system.
replacementoperationdrop-intrackermongoose-plugin
calyxhealth/pyriskadjust
Jan 2019 - Apr 2021
A python implementation of Medicare's Risk Adjustment model based on Hierarchical Condition Categories (HCCs).
Contributions:54 commits, 1 PR, 27 pushes in 2 years 3 months
model-basedpythonadjustmentpython-implementationrisk
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