Ani Adhikary
Senior Software Engineer at GovTech Singapore
Singapore
Summary
👤
Senior🎓
Top SchoolAni Adhikary is a Senior Software Engineer based in Singapore with 13 years of experience building reliable, production-grade systems across startups and government tech. She has progressed from system administration to senior engineering roles at GovTech after impactful stints at companies like BitMEX, Jaga-Me, Saleswhale, and Telenor, bringing both operational rigor and product-focused engineering. Ani spans the full stack and is particularly adept at language-focused engineering—her notable open-source contributions include adding Bengali language support to the widely used spaCy NLP library. She excels at unlocking team performance and translating complex requirements into test-backed implementations, often bridging gaps between localization needs and core platform architecture. Her background combines academic CS training from Goldsmiths with hands-on delivery in regulated and high-throughput environments, making her a pragmatic technical leader who still ships code.
13 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Goldsmiths, University of London
English, Bengali
Stackoverflow
102reputation
9kreached
4answers
5questions
Github Skills (20)
tokenize10
python10
tokenizer10
spacy10
natural-language-processing10
nlp10
machine-learning9
text-classification8
data-science7
artificial-intelligence7
ai7
driver6
database6
error-handling6
gtk6
Programming languages (17)
Github contributions (5)
explosion/spaCy
Feb 2017 - Sep 2018
💫 Industrial-strength Natural Language Processing (NLP) in Python
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:5 commits, 8 PRs, 4 comments in 1 year 6 months
Contributions summary:Ani contributed significantly to adding Bengali language support within the spaCy library. Their work involved implementing basic Bengali stop words, defining tokenizer exceptions, and incorporating Bengali-specific punctuation rules. Furthermore, the user implemented Bengali tag maps, morph rules, and lemma rules. Their changes included modifications to the `__init__.py` and `setup.py` files, integrating the new language features within the existing spaCy architecture and adding tests for Bengali language features.
fairness-mlpythondata-preprocessinglanguage-processingtokenization
rabbihossain/SalahTime
Jan 2015 - Feb 2015
Contributions:10 commits in 27 days
prayer-timestimesgpsprayeraccurate
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