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Generative AI Engineer with 2+ years in LLM-powered applications & RAG.
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Generative AI engineer with hands-on experience building LLM-powered applications, including Retrieval-Augmented Generation (RAG) pipelines, vector search, and API-integrated systems. Proficient in Python, LangChain, FastAPI, and prompt engineering, with practical experience deploying backend services and integrating LLMs (OpenAI, Claude) into production-style workflows. Comfortable working across the AI/ML lifecycle from data preparation through deployment, with a track record of shipping working systems end-to-end rather than just prototypes.
Kwame Nkrumah University of Science and Technology
B.Sc. Agriculture · Agricultural Mechanization
August 1, 2018 – September 1, 2022
Harvard University
CS50 Professional Certificate in Computer Science for Artificial Intelligence · Computer Science for Artificial Intelligence
N/A – Present
University of Illinois at Urbana-Champaign
AI Foundry for Agricultural Applications – Short Course · Agricultural Applications
N/A – June 1, 2025
Mulberry Oakwood
Project Manager
December 1, 2025 – May 1, 2026
India
AgriPro
Associate Project Manager (AI & Data Focus)
January 1, 2025 – December 1, 2025
India
Babbel Company Limited
Personal Assistant
October 1, 2024 – May 1, 2026
India
Institute of Modern Technologies (IMT)
Data Analyst
March 1, 2024 – December 1, 2024
India
KNUST - Dept. of Agricultural & Biosystems Engineering
Teaching & Research Assistant
November 1, 2022 – September 1, 2023
India
RAG-Based Conversational Chatbot
June 24, 2026 – Present
Built a Retrieval-Augmented Generation (RAG) chatbot with a FastAPI backend, grounded in a curated corpus of domain-specific texts and exposed via a REST API, enabling natural language querying of unstructured content. Built end-to-end pipeline including document chunking, vector embedding (FAISS), semantic retrieval, and LLM response generation; deployed as a live full-stack application with a decoupled frontend.
Crowd Counting System
June 24, 2026 – Present
Built a deep learning-based crowd counting system using YOLOv8 and OpenCV to detect and count individuals in images and video streams, with potential applications in event management and public safety. Implemented model fine-tuning, density map estimation, and real-time inference pipelines; evaluated performance using MAE and RMSE metrics.
AI-Powered Poultry Health Monitoring System
June 24, 2026 – Present
Contributed to an AI system for early detection of poultry disease using computer vision to monitor bird behaviour and movement patterns, enabling farmers to respond before outbreaks spread. Supported model training on labelled poultry footage, integration with sensor data, and field testing to validate detection accuracy in real farm environments.
AgriPro Knowledge Hub
June 24, 2026 – Present
Co-built and managed an AI-powered knowledge platform serving Ghana's agricultural sector, curating resources, developing learning materials, and integrating AI tools to support smallholder farmers and agri-professionals. Drove community engagement, content strategy, and platform adoption across partner organizations and donor-funded programs.
Cultural Fit Analysis
The candidate's project diversity, particularly in agricultural AI applications, shows a breadth of interest and ability to apply AI in various domains. Their experience in roles like 'Associate Project Manager (AI & Data Focus)' and 'Data Analyst' aligns with the need for a Generative AI Engineer to understand data pipelines and project lifecycle. The educational background, including specialized AI courses, indicates a proactive approach to skill development. The blend of technical project work and project management experience suggests adaptability and a holistic view of product development, which can be a good cultural fit for dynamic teams.
Soft Skills & Operational Fit
The candidate demonstrates strong project management and coordination skills, evidenced by their Project Manager and Associate Project Manager roles. They have experience in cross-functional collaboration, stakeholder management, and communicating technical outcomes to non-technical audiences. Their involvement in community engagement and knowledge sharing (AgriPro Knowledge Hub) suggests a collaborative and proactive work attitude. The volunteer data analyst role also indicates initiative and end-to-end ownership.