Demonstrated experience with Machine Learning.
Demonstrated experience with Natural Language Processing.
Demonstrated experience with Video Annotation.
Demonstrated experience with LLM Evaluation.
Demonstrated experience with RLHF Workflows.
Professional profile
Designed, developed, and deployed scalable software features across the full development lifecycle, delivering production-ready code as part of an agile engineering team.. Deployed and managed applications on Amazon Web Services (EC2, S3), configuring compute, storage, and networking resources across development, staging, and production environments.. Built and maintained CI/CD pipelines using GitHub Actions and Jenkins, automating testing and deployment workflows and reducing release time by 35%.. Architected and implemented microservices components, improving system scalability and reducing downtime by 20%.. Collaborated with cross-functional product, design, and engineering teams to translate requirements into technical solutions, accelerating sprint delivery by 15%.. Diagnosed and resolved critical production issues through code reviews and debugging, improving system reliability and reducing the bug backlog by 25%.
Performed rubric-based grading and RLHF-style evaluation to improve model response quality.. Contributed to multimodal training datasets for computer vision and robotics workflows.. Recorded structured real-world task sequences demonstrating human-object interaction.. Applied iterative feedback to improve annotation quality and consistency.
Developed a clustering system that accurately grouped customers into distinct segments, enhancing targeted marketing strategies and increasing customer engagement by 25%.. Implemented customer segmentation using various clustering algorithms and applied Principal Component Analysis (PCA) for dimensionality reduction, simplifying complex data to uncover key customer insights.. Developed a dynamic SIR (Susceptible-Infected-Recovered) model with vaccination components to analyze the impact of vaccination on the spread of infectious diseases.. Implemented numerical solutions for differential equations using Python and scientific libraries, enabling accurate simulations of disease dynamics under various scenarios.. Designed and executed simulation scenarios comparing disease spread with and without vaccination programs to evaluate key metrics such as infection peaks and recovery times.. Analyzed time-series data of susceptible, infected, and recovered populations to measure the effects of vaccination rates and coverage on disease transmission.. Evaluated the achievement of herd immunity by modeling varying vaccination strategies, optimizing the time and resources required to control outbreaks.. Developed an E-commerce platform that effectively managed a massive database of customer and transaction data, enabling large-scale data analysis.. Implemented Spark SQL to process and analyze extensive datasets, uncovering key insights into customer behaviors and transaction patterns.. Analyzed sales data to identify top-selling products, boosting revenue by optimizing marketing strategies and product placement.. Identified seasonal sales trends, allowing for strategic planning of targeted promotions and efficient inventory management.. Discovered customer buying behaviors, including frequent purchasers and preferred product categories, enabling personalized marketing campaigns and loyalty programs.
Developed and maintained Java-based cloud-native applications as part of an Agile team, designing microservices with Spring Data and Hibernate for seamless data persistence.. Designed and implemented APIs for high-load distributed systems, improving scalability and reliability.. Integrated RabbitMQ to streamline asynchronous communication, enhancing system efficiency.. Maintained and optimized Kotlin projects with Spring Boot, reducing data transfer time by 40% and boosting user responsiveness.. Collaborated with cross-functional teams to deliver scalable solutions, accelerating project timelines.. Optimized system performance through code reviews and debugging, achieving a 25% increase in efficiency.. Implemented robust security measures in backend services, ensuring compliance with industry standards.. Mentored junior developers, fostering a culture of knowledge sharing and technical excellence.
Developed an E-commerce website using Spring Boot, orchestrating deployment strategies to achieve 99.9% uptime and reducing client issues by 30%.. Spearheaded five design thinking workshops to identify key user needs and address technical challenges effectively.. Implemented RESTful APIs within three months using test-driven development, streamlining enterprise operations.. Reviewed code and provided bug fixes, ensuring high-quality software deliverables.. Provided technical support to team members, accelerating deployment processes and delivering client projects 20% faster.. Managed Continuous Integration/Continuous Delivery (CI/CD) pipelines using CodeBuild and other tools, ensuring seamless and automated deployments.
Updated Enshika's rider app on AWS EC2.. Integrated the Ghana Post GPS into the rider app.. Integrated Ecobank QR Code for client payments.. Improved Enshika backend, increasing user retention by 35% and reducing errors by 20%.
Hi, my name is Emmanuel Kodupey. I'm a Python and a Java developer with over eight years' experience, and I have a strong background in financial technology, education insurance, and rental business as well. I specialize in building distributed microservice applications and have successfully worked remotely for the past four years with companies across Asia, Europe, and the America. Thank you.