Emmanuel Allan
@emmanuelallan
Backend Engineer specializing in scalable web applications and AI solutions.
What I'm looking for
I'm a dedicated Backend Engineer with a strong foundation in full-stack web development and a passion for creating scalable, efficient systems. My experience includes developing a multi-module inventory platform for the Ministry of Defense, where I successfully transitioned legacy systems to modern architectures, enhancing operational efficiency by 60%.
Throughout my career, I've collaborated with diverse teams across the globe, honing my skills in backend services using technologies like Ruby on Rails, Node.js, and PostgreSQL. My work at Scale AI involved refining AI models, where I achieved over 95% accuracy in model assessments, showcasing my commitment to quality and innovation in technology.
Currently, I'm engaged in exciting projects like Ticket Poa and Winda, where I leverage my expertise in Ruby on Rails and Stripe API to deliver robust solutions. I'm eager to contribute my skills to a forward-thinking company that values creativity and technical excellence.
Experience
Work history, roles, and key accomplishments
Backend Engineer
Ministry Of Defense
Jan 2025 - Present (6 months)
Developed, tested, and deployed a secure, performant, and scalable multi-module inventory platform to manage secure distribution of high-value government assets using PostgreSQL, Redis, Ruby on Rails, and FastAPI. Designed and implemented scalable API layers and reporting pipelines using REST architecture.
Full Stack Developer
Logic Solutions GmbH
Aug 2024 - Oct 2024 (2 months)
Engineered backend services using C# and Node.js (Hono) with PostgreSQL, AWS App Runner, S3, and AWS Lambda, reducing shipping data processing time by 45%. Designed RESTful APIs and background processing via Beanstalk for smooth document uploads and status tracking.
Junior AI/ML Engineer (Data & Quality Specialist)
Scale AI (Remotasks)
Sep 2021 - Feb 2024 (2 years 5 months)
Drove AI model refinement for platforms like Bard AI through meticulous data labeling and annotation, achieving over 95% accuracy in assessing model reliability, accuracy, and performance metrics. Applied Reinforcement Learning principles and Machine Learning concepts to iteratively train and optimize AI models, significantly improving their decision-making capabilities and output quality.
Education
Degrees, certifications, and relevant coursework
Chuka University
Bachelor of Science, Computer Science
Pursued a Bachelor of Science in Computer Science, gaining foundational knowledge in the field. The curriculum covered various aspects of computer science.
Microverse College
Fullstack Web Development, Web Development
Completed a program in Fullstack Web Development, focusing on practical skills for building web applications. The curriculum provided hands-on experience in various web technologies.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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