Software Engineer with 4+ years in full-stack web, mobile, and AI/ML applications
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Assessing your cultural and operational fit
Software Engineer with hands-on experience shipping production web and mobile applications, increasingly augmented by AI-powered development tools (GitHub Copilot, Cursor, Claude, and ChatGPT) across coding, debugging, testing, and documentation workflows. Comfortable across the full stack - Python/Django, JavaScript/Node, React/Next.js, Flutter - with a complementary background in applied ML (BERT chatbots, CNN-based diagnostic models). Looking to join a team that treats AI as a first-class part of the engineering workflow.
University of Ghana
MSc · Data Science
October 1, 2025 – October 1, 2027
Ashesi University
BSc · Computer Science
January 1, 2021 – December 1, 2024
Translight Solar Limited
Software Engineer
March 1, 2025 – Present
Accra, Greater Accra Region, Ghana
Future Africa Scientist
Backend Engineer
July 1, 2024 – October 1, 2024
Uganda
ExpressMed
Software Engineer
May 1, 2024 – January 1, 2026
Accra, Greater Accra Region, Ghana
Ahegel
Machine Learning Intern
October 1, 2023 – July 1, 2025
Nigeria
Early Detection of Diabetic Retinopathy with Deep Learning
October 1, 2024 – March 1, 2025
Developed a CNN-based classifier for early detection of diabetic retinopathy, achieving 89.57% classification accuracy. Ran rigorous evaluation and testing to validate model reliability for use in low-resource clinical settings.
Enhancing Examination Integrity Using Activity Recognition
September 1, 2023 – August 1, 2024
Built a dual-model real-time proctoring system combining Faster R-CNN for object detection and CNN-LSTM for action recognition. Achieved 87.6% mAP for object detection and 86.7% accuracy for action recognition. Collected and annotated 6,000+ frames from 200 simulated exam videos to construct the training dataset.
Achieved a high score of 88%, indicating strong proficiency in Java development, testing, and clean code principles.
Strengths
Cultural Fit Analysis
The candidate's diverse project experience, ranging from academic research in deep learning to commercial software engineering roles, indicates adaptability and a broad interest in technology. Their explicit desire to join a team that treats AI as a first-class part of the engineering workflow aligns well with forward-thinking, AI-integrated development environments. The experience with distributed/remote teams also suggests flexibility. The blend of backend, mobile, and ML skills, along with mentorship, points to a collaborative and growth-oriented individual.
Soft Skills & Operational Fit
The candidate's resume highlights experience in cross-functional collaboration, structured code reviews, and mentoring, indicating strong teamwork and communication skills. Their use of AI tools for code review and architectural sounding-boarding suggests an adaptive and modern approach to development. The focus on reducing bug reports and increasing revenue demonstrates a results-oriented mindset. The psychometric test score of 316/500 (63.2%) suggests average logical reasoning, work attitude, and stress handling, which could be an area for further exploration.
Limitations
Scored 80%, showing good foundational knowledge in SAP Digital Transformation Manager concepts, specifically ITBP.
Strengths
Limitations
Achieved 80%, indicating a good grasp of frontend application development principles, likely with React/TypeScript.
Strengths
Limitations
A score of 68% indicates a fair understanding of Senior AI/DS concepts, but suggests room for growth in advanced areas.
Strengths
Limitations
Achieved an outstanding score of 95%, demonstrating expert-level knowledge in Java and Web Technologies, including specialized Pricefx consultant skills.
Strengths
Limitations