🔹 Current Role: DevOps Engineer
🔹 Previous Role: Application Support Engineer

I am a DevOps Engineer with a strong background in Machine Learning, Cloud Computing, and Automation. My research focuses on Automatic Speech Recognition (ASR) for Ghanaian languages and Computer Vision using CNNs. I enjoy optimizing software performance, developing AI-driven solutions, and automating workflows for efficiency.

• Developing a CNN model for Image Classification in Akan Twi
• Enhancing Automatic Speech Recognition (ASR) for Ghanaian Languages
• Improving AI-driven solutions for accessibility

• Advanced Cloud Infrastructure (Azure, AWS, Kubernetes, CI/CD)
• MLOps (Deploying ML models efficiently in production)
• Federated Learning for Healthcare AI Applications

• AI and Machine Learning research projects
• Open-source speech and language models for low-resource languages
• DevOps automation and cloud-native solutions

• Optimizing speech recognition models for underrepresented languages
• Implementing real-time ASR pipelines using cloud services

• Cloud & DevOps (Azure, AWS, CI/CD, Kubernetes, Docker, Vagrant)
• Machine Learning (NLP, CNNs, Federated Learning)
• Data Engineering (SQL, NoSQL, Data Pipelines)

💼 LinkedIn
📧 [email protected]
🖥️ GitHub

I love exploring new AI research papers and automating repetitive tasks—whether it’s in machine learning, cloud infrastructure, or daily workflows! 🚀

• Ensured system reliability through rigorous functional regression testing, optimizing software performance.
• Provided technical assistance to internal and external teams, troubleshooting and resolving system defects.
• Developed and executed SQL queries for data validation during testing phases.
• Configured and customized Grafana dashboards for real-time performance monitoring.
• Utilized Datadog to analyze system performance and resolve bottlenecks proactively.
• Automated repetitive tasks using Bash scripting, enhancing workflow efficiency and reducing errors.

🚀 Language Detection Model for Ghanaian Languages
🎨 CNN Model for Image Classification in Akan Twi
📡 ASR System for Speech Impairments in Twi
🛡️ SMS Spam Detection in Swahili
🧠 Brain Tumor Classification using Federated Learning

• DevOps & Cloud: Azure, AWS, CI/CD Pipelines, Kubernetes, Docker
• Machine Learning & AI: Machine Learning(RNN, CNN, LSTM), Deep Learning (wav2vec, Whisper), Transformers
• Computer Vision: CNNs, Image Classification
• Monitoring & Automation: Grafana, Elastic Search, Datadog, Bash Scripting
• Databases & Querying: SQL, NoSQL

“Turning AI research into impactful real-world solutions.”