Jim Geovedi
Contra Todo Hoy Brujerizmo at Gravion
Special capital Region of Jakarta, Indonesia
Summary
👤
Senior🎓
Top SchoolJim Geovedi is a seasoned software engineer and security-savvy NLP practitioner with 15 years of experience building resilient systems and applied AI from Jakarta. Known for blending offensive-security instincts with pragmatic engineering, he has driven production projects across fintech, startups, and security firms while contributing Indonesian language support to the widely used spaCy NLP library. Comfortable from backend systems to tokenizers and lemma dictionaries, he focuses on making ML and language tooling actually work in local contexts where off-the-shelf models fall short. Outside of work he pairs a countercultural streak with deep technical rigor—proud dropout, dog lover, and avid underground music enthusiast—which shows up in unconventional, high-impact problem solving.
15 years of coding experience
Table Flipping Mastery, Table Flipping Mastery at Internet
English, Indonesian
Stackoverflow
161reputation
552kreached
1answer
0questions
Github Skills (12)
tokenize10
tokenizer10
nlp10
spacy10
python10
language-modeling10
natural-language-processing10
cython7
machine-learning7
setuptools6
easy-install6
package6
Programming languages (6)
Github contributions (5)
explosion/spaCy
Jul 2017 - Aug 2017
💫 Industrial-strength Natural Language Processing (NLP) in Python
Role in this project:
Backend Developer & NLP Engineer
Backend Developer & NLP EngineerContributions:56 commits, 1 PR, 15 comments in 1 month
Contributions summary:Jim primarily contributed to the development of Indonesian language support within the spaCy library. Their work involved implementing Indonesian-specific stop words, tokenizer exceptions, normalization rules, and lex attributes. The user also added rules for prefixes, suffixes, and infixes to enhance tokenization accuracy. Furthermore, they integrated a lemma dictionary and enabled syntax iterators to further improve the capabilities of spaCy for Indonesian language processing.
fairness-mlpythondata-preprocessinglanguage-processingtokenization
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