
Akomolafe Ayobami
@akomolafeayobami
AI/ML Engineer with 3 years shipping production LLM, RAG and ML systems in Python. Award-winning, published, and strong in APIs and data pipelines.
What I'm looking for
At Voltaflux, I designed and deployed client-focused RAG chatbots, connecting LLMs with vector retrieval to ground responses in domain knowledge. I also curated and annotated fine-tuning datasets to support more factual model outputs.
I’ve shipped production ML solutions at DataClear Consult and developed projects including a WhatsApp banking chatbot and a RAG-LM for antimicrobial prescription, which was a finalist in the AMR Vivli 2025 Challenge. My work spans LLM applications, predictive analytics, and applied ML across healthcare, agriculture, fintech, and biotech.
Experience
Work history, roles, and key accomplishments
Member, AI+ Club
Data Science Nigeria
Aug 2020 - Present (6 years 2 months)
Active contributor to data analysis, visualization, and ML hackathon projects; mentored beginner members in AI.
AI Engineer
Voltaflux
May 2024 - Nov 2024 (6 months)
Designed and deployed RAG chatbots integrating LLMs with vector-based retrieval to ground responses in domain-specific knowledge. Curated and annotated fine-tuning datasets to improve factual accuracy and reduce hallucination.
ML Engineer
DataClear Consult
Aug 2023 - Jan 2024 (5 months)
Designed and shipped ML solutions to production for business use cases including product recommendation, customer segmentation, sentiment analysis, and image recognition. Owned cross-functional delivery and mentored junior engineers.
Data Scientist / ML Engineer
Expaat
Apr 2022 - Jan 2024 (1 year 9 months)
Delivered freelance data science and ML engineering services with a 100% project success rate. Awarded Best Data Science Personnel of the Quarter twice.
Research Assistant
Department of Virology, University of Ibadan
Nov 2022 - Sep 2023 (10 months)
Conducted a cross-sectional research study, applying statistical analysis methods to determine prevalence and risk factors within a defined study population.
ML Engineer Intern
SAIC / CLIMDES Lab
Jan 2023 - Jun 2023 (5 months)
Collaborated with a team of three researchers applying machine learning models to livestock feed nutrition estimation from NIR and RGB imagery. Delivered weekly research presentations and co-authored a manuscript.
Metagenomics Team Lead
IBRT (Institute for Biotechnology Research and Training)
Jan 2022 - Dec 2022 (11 months)
Led a team of three undergraduate researchers designing and conducting metagenomics studies on environmental samples, applying bioinformatics and computational pipelines. Collaborated with external partners to ensure quality and relevance of research outputs.
ML Engineer Intern
Prunedge
May 2022 - Oct 2022 (5 months)
Worked in a four-person engineering team to develop technology solutions addressing business needs and scaling operations. Conducted continuous research and technical writing on novel AI/ML techniques.
Data Science Intern
Gradient-Boost
Feb 2021 - Sep 2021 (7 months)
Completed an immersive 6-month data science internship, delivering projects as part of a five-person team.
Education
Degrees, certifications, and relevant coursework
University of Ibadan
B.MLS, Medical Laboratory Science
2016 - 2023
Pursued a Bachelor of Medical Laboratory Science with a minor in Bioinformatics and Computational Studies, completing the program in 2023.
University of Michigan
Specialization, Computer Science
2020 - 2020
Completed the Python Specialization covering Python, SQL, DBMS, and web scraping.
IBM
Specialization, Data Science
2020 - 2020
Completed the Data Science Specialization covering data analysis, visualization, machine learning, and AI with deep learning.
DeepLearning.AI
Specialization, Deep Learning
2020 - 2020
Completed the TensorFlow Developer Specialization covering NLP, computer vision, deep learning, and neural networks.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
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