Summary
Blessing Sibanda is an intermediate software engineer based in Harare with 10 years of hands-on experience across mobile, desktop and web application development and full software lifecycle delivery. She brings a strong applied research background in computer vision for agriculture and NLP for low-resource languages, having created and annotated novel Shona NER and POS datasets and trained machine translation models. At Masakhane she led a remote annotation team and contributed thousands of labeled sentences to MasakhaNER 2.0, and she currently develops software at Entelect while co-organizing Deep Learning IndabaX Zimbabwe. Her skill set spans Android development, cloud deployment on Google App Engine, big-data NLP with Spark, and search/semantic tooling such as Solr and Stanbol. She pairs academic rigor from an MS in Computer Science with practical product delivery, often bridging research datasets and production-ready systems. Colleagues describe her as a pragmatic engineer who quietly scales research outcomes into usable software for African language and agricultural applications.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at NUST Namibia
Full Stack Web Development Certification, Computer Software Engineering, Full Stack Web Development Certification, Computer Software Engineering at Free Code Camp
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Harare Institute of Technology
English, Bantu