Habijur Rahaman
@habijurrahaman
Experienced Software Developer specializing in natural language processing.
What I'm looking for
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
Software Developer (NLP & Linguistic Evaluation)
Microsoft
Jun 2021 - Present (4 years 3 months)
Contributed to large-scale AI training projects involving Swahili language data. Tagged, annotated, and corrected machine-generated Swahili texts for clarity and accuracy while collaborating with global engineering teams to enhance NLP systems.
Software Developer (Language & AI Systems)
Amazon
Jun 2019 - Jun 2021 (2 years)
Led annotation tasks for low-resource languages including Swahili. Evaluated conversational AI responses for grammatical accuracy and local relevance, utilizing annotation platforms to support voice and text recognition models.
Software Developer (Multilingual NLP)
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
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
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.
Availability
Location
Authorized to work in
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