Sabbir Alam
Electrical Supervisor at POSCO E&C (포스코건설) ®
Dhaka, Dhaka Division, Bangladesh
Summary
👤
Senior🎓
Top SchoolSabbir Alam is an electrical supervisor with 11 years of hands-on experience in installation, maintenance and testing of LV/MV/HV systems, currently overseeing hi-pot and megger testing, cable installation and substation work for POSCO E&C on large-scale power projects. He progressed from lineman roles at the Bangladesh Rural Electrification Board to electrical foreman and now supervisor, bringing practical field leadership in 33kV systems, cable jointing and materials management. Sabbir combines strong safety compliance and crew coordination with solid technical literacy—he holds a Diploma in Computer Technology and is comfortable with MS Office and basic automation tools. Unusually for a field engineer, he has contributed backend improvements to an open-source classical language toolkit by adding Sanskrit corpora, demonstrating attention to detail and an aptitude for code and data work alongside electrical engineering. He is Dhaka-based, bilingual in Bengali and English, and open to collaborations across the electrical and construction sectors.
11 years of coding experience
Secondary School Certificate (SSC), Science, GPA: 3.73/5.00, Secondary School Certificate (SSC), Science, GPA: 3.73/5.00 at Kurigram Technical School and College (TSC).Diploma in Engineering, Computer Technology/Computer Systems Technology, GPA: 3/4.00, Diploma in Engineering, Computer Technology/Computer Systems Technology, GPA: 3/4.00 at Institute of Vision Polytechnic Institute, KurigramKurigram technical School and College
Github Skills (5)
nlp10
python10
historical9
linguistics9
ai7
Programming languages (8)
Github contributions (5)
cltk/cltk
Mar 2016 - Mar 2016
The Classical Language Toolkit
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits, 3 PRs, 11 comments in 4 days
Contributions summary:Sabbir focused on adding Sanskrit corpora to the Classical Language Toolkit (CLTK). They implemented the necessary changes to import the Sanskrit corpora, and modified the import and formatter utilities. These modifications included adding Sanskrit corpora to existing structures, updating available languages, and formatting the corpora file for consistency. Their work significantly enhanced the CLTK's support for Sanskrit, providing access to new linguistic data.
nlplingpythonlatinnltk
cltk/sanskrit_text_jnu
Mar 2016 - Mar 2016
Contributions:9 commits, 7 pushes, 1 branch in 9 days
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