Summary
Jeremiah Chienda is an Artificial Intelligence Engineer with over nine years of experience building data-first, production-grade software and AI systems that drive measurable business and social impact. He has led end-to-end projects from offline-first mobile syncs for 65 million farmer records to national health interoperability layers and high-accuracy RAG and agentic workflows for customer support. Equally comfortable with systems architecture, ML/NLP research and pragmatic engineering, he treats data as a product and prioritizes solutions that are optimal and contextually appropriate. Jeremiah’s work blends open-source tooling (LangChain, Redis VectorDB, OpenTelemetry) with cloud-native deployments and low-resource-device constraints, reflecting a knack for durable automation across diverse environments. Based in the UK with a background in NLP from Doshisha and UNIMA, he looks for opportunities that move organisations from 0 to 1 rather than marginal gains.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.Sc.), Information Technology, Bachelor of Science (B.Sc.), Information Technology at University of Malawi - UNIMA
Master of Engineering, Information & Computer Science, Natural Language Processing, Master of Engineering, Information & Computer Science, Natural Language Processing at Doshisha University
Japanese, chichewa, English