AI/ML Engineer building scalable intelligence | Computer Vision & NLP Specialist
Accra, Ghana
As an AI/ML Engineer, I specialize in transforming complex business challenges into scalable machine learning solutions. With expertise spanning computer vision, NLP, and IoT integration, I develop production-ready models that drive measurable impact. My research focus includes responsible AI, healthcare applications, and scalable intelligence systems.
• Accelerated claims processing by 40% through custom OCR and object detection models integrated into SnapInsure app
• Increased claims validation accuracy by 45% via RAG model using FAISS and LangChain for real-time document analysis
• Built intelligent fraud detection systems including face recognition with anti-spoofing, signature validation, and vehicle inspection automation
• Developed electronic signature model enabling seamless document signing within the core application
• Developed ASR models for automatic transcription and multi-language translation pipelines
• Fine-tuned Mistral model for AI mentorship platform, improving interaction quality by 15%
• Developed mentor-mentee matching algorithm using cosine similarity, achieving 30% better matching accuracy
• Analyzed criminal and conviction data from Ghana Police Service using advanced Python techniques
• Designed surveys and extracted insights on public perspectives regarding CCTV implementation in Ghana
• Developed diabetes prediction models achieving 85% accuracy using diverse patient attributes
• Created interactive Tableau dashboards, improving stakeholder engagement by 25%
BSc. Computer Engineering | GPA: 3.84
Research Interests: Machine Learning, AI in Healthcare, Computer Vision & Robotics, Deep Learning, LLMs & NLP, Scalable AI, AI Ethics
Honors: Provost's List (2020-2023), Multiple Excellent Student Awards
Multilingual document analysis platform supporting 160+ languages with voice chat capabilities. Upload any document and interact through natural language queries.
Production AppIntelligent recruitment platform providing personalized job-fit assessments and candidate matching using advanced ML algorithms.
Production AppIoT-enabled water quality prediction system using LSTM and Gradient Boosting Models, achieving 96% accuracy for real-time monitoring.
Research ProjectComprehensive customer sentiment analysis and booking prediction system for British Airways. Analyzed customer sentiments, booking patterns, and developed predictive models to enhance customer satisfaction and optimize booking processes.
Simulation ProjectConvolutional Neural Network built with TensorFlow for multi-class image recognition with data augmentation and transfer learning.
ML ProjectComprehensive business intelligence analysis uncovering sales patterns and customer insights using statistical modeling.
AnalyticsClimate data exploration and predictive modeling for weather pattern analysis and forecasting.
Data ScienceUber data analysis revealing mobility patterns and optimizing transportation efficiency through geospatial analytics.
AnalyticsEnd-to-end machine learning pipeline for loan default prediction using ensemble methods and feature engineering.
ML Pipeline