Ibraheem Abdulsalam
@ibraheemabdulsalam
I build agentic AI and machine learning products for agriculture, retail, and language access.
What I'm looking for
I built Agrowise, an AI agricultural advisory platform combining CNN-based crop and livestock diagnosis, LightGBM yield prediction, and RAG-powered local farming guidance.
I co-developed MotiveAi, a culturally grounded behavioural recommendation agent that earned Most Innovative Idea and placed Top 7 among 595+ teams at the DSN × BCT LLM Agent Hackathon. I've also built Kalaye AI for context-aware subtitle translation and Aroko, an AI-powered academic writing tool.
At Softrays Information Technology, I analysed a business ledger of more than 100,000 entries and built practical Python data-cleaning and exploratory-analysis pipeline skills. I'm focused on agentic AI and applied machine learning for food security, Nigerian SMEs, and economic inclusion.
Experience
Work history, roles, and key accomplishments
Data Science and Analysis Intern
Softrays Information Technology
Analysed a business ledger of over 100,000 entries, identifying patterns and anomalies to support data-driven decision-making. Applied hands-on data cleaning, preprocessing, and exploratory analysis using Python, building practical pipeline skills.
Education
Degrees, certifications, and relevant coursework
University of Ilorin
Bachelor of Science, Computer Science
Pursuing a Bachelor of Science in Computer Science with a focus on Artificial Intelligence, Machine Learning, and Systems Architecture. Final year project involves developing Agrowise, a multi-model AI framework for agricultural advisory.
Availability
Location
Authorized to work in
Job categories
Skills
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