Terry Koo
Senior Loan Officer at Bridgeview Bank Mortgage
Schaumburg, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolTerry Koo is a bilingual Senior Loan Officer based in Schaumburg, Illinois with over eight years in mortgage and commercial lending, specializing in tailored solutions for Korean-American clients. At Bridgeview Bank Mortgage he combines deep underwriting knowledge and hands-on loan origination to move files quickly while prioritizing clients’ long-term goals. His background managing a commercial lending team and wholesale relationships gives him a pragmatic understanding of both retail and institutional perspectives. Terry also contributes back-end improvements to notable open-source projects like Google's SLING, showing an analytical bent for complex systems and process optimization. Known for detailed client intake conversations and referral-driven relationship building, he focuses on construction, FHA, jumbo and relocation loans to deliver fit-for-purpose financing.
9 years of coding experience
1 year of employment as a software developer
Bachelor's Degree, Finance, Bachelor's Degree, Finance at University of Wisconsin Milwaukee
Github Skills (12)
type-inference10
c-language10
inference10
cprogramming-language10
shapes10
tensorflow9
nlp8
algorithms8
data-structures8
data-structure8
natural-language-processing8
computer-engineering8
Programming languages (2)
Github contributions (5)
google/sling
Aug 2017 - Apr 2018
SLING - A natural language frame semantics parser
Role in this project:
Back-end Developer
Back-end DeveloperContributions:23 commits, 3 PRs, 1 push in 7 months
Contributions summary:Terry primarily contributed to the core logic and functionality of the SLING parser. Their work focused on improving the flow analysis within the system, including propagating variable properties and adding type/shape inference for operations like "Gather" and "Fill". They also implemented new features, such as the "SetReference" method and the "FlattenConcatTransformer", and addressed several identified bugs in the codebase. These changes suggest a focus on improving the efficiency and accuracy of the parsing process.
parsernatural-language-understandingnatural-language-processingneural-networkmachine-learning
terryykoo/sling
Nov 2017 - Feb 2018
Contributions:5 pushes, 2 branches in 2 months
nlpframesemanticsnatural-languagesling
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