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Habijur RahamanHR
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Habijur Rahaman

@habijurrahaman

Experienced Software Developer specializing in natural language processing.

Kenya
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What I'm looking for

I seek a role that values cultural nuance in AI, fostering inclusive technology.

I am a native Swahili speaker and an experienced Software Developer with a specialized background in natural language processing (NLP), linguistic data annotation, and AI training. My journey in the tech industry has been marked by a commitment to enhancing AI systems, particularly in the context of Swahili and multilingual applications. I have successfully evaluated and fine-tuned large language models, ensuring they meet cultural and linguistic standards.

My academic background includes a Master of Science in Computer Science from the University of Nairobi, where I focused on NLP and machine learning. I have developed tools for semantic analysis in East African languages and participated in projects related to machine translation and conversational agents. My professional experience spans notable companies like Microsoft, Amazon, and Google, where I contributed to significant AI training projects and led annotation tasks for low-resource languages. I am passionate about creating inclusive AI technologies that resonate with diverse linguistic communities.

Experience

Work history, roles, and key accomplishments

GO

Software Developer (Multilingual NLP)

Google

Jun 2015 - May 2019 (3 years 11 months)

Participated in Swahili and English language model evaluation tasks. Edited and reviewed data generated by speech recognition and translation systems, ensuring compliance with linguistic rules and dialectal variations.

Education

Degrees, certifications, and relevant coursework

University of Nairobi logoUN

University of Nairobi

Master of Science, Computer Science

2018 - 2021

Conducted research on Swahili-language text processing and annotation methods. Developed tools for semantic analysis in East African languages. Participated in projects related to machine translation and conversational agents.

Jomo Kenyatta University of Agriculture and Technology logoJT

Jomo Kenyatta University of Agriculture and Technology

Bachelor of Science, Computer Science

2013 - 2017

Capstone project on Swahili text classification using supervised machine learning. Introduced to linguistic rule-based models and corpus analysis.

Tech stack

Software and tools used professionally

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Habijur Rahaman - Software Developer (NLP & Linguistic Evaluation) - Microsoft | Himalayas