Methuselah Nwodobeh
Software Engineer
I’m a backend-focused software engineer who designs and builds systems with clarity, context, and long-term thinking in mind. I prefer simple, well-reasoned solutions over clever hacks and fleeting trends.
About Me
Summary
I work primarily on backend systems - APIs, authentication, data pipelines, and services that need to be reliable long after the excitement of launch fades. My background is in Python and Java, but I’m comfortable moving across stacks when the problem requires it: Python for tooling and experimentation, Flutter for tightly scoped applications, JavaScript for frontend. The tools matter less to me than the structure, trade-offs, and guarantees behind them.
Contact Information
- Takoradi, Ghana
- 0552708723
- methuselahnwodobeh@gmail.com
Work Experience
- Developed AI-powered solutions, including: A code analysis tool and a developer quiz bot
- Designed microservices architectures, ensuring scalability and maintainability.
- Worked in a team to build an AI based tool for reviewing pull requests, improving code quality across internal projects by over 30%.
- Built a real-time collaboration tool for an AI-based video generation platform built with flask and celery, enabling collaborators to track project changes in realtime.
- Led a team of developers to create comprehensive codebase and API documentation, significantly improving the onboarding experience for new developers.
- Established documentation guidelines & maintenance rules, ensuring consistency and long-term usability.
- Mentored junior developers, fostering team growth through knowledge-sharing and collaboration.
- Worked in a team to build an in-vehicle infotainment system using Java 8, SVN, XML, and Python for integration testing.
- Identified and resolved multiple bugs in the infotainment system improving customer satisfaction.
- Assumed leadership responsibilities by occasionally leading stand-up meetings, facilitating discussions, and ensuring team alignment and progress tracking.
- Worked in a team to build a test taking platform with a microservice architecture using Java 17, Spring Boot, PostgreSQL, Nodejs, DynamoDB, Redis, Sentry and Angular.
- Designed and implemented a robust authentication and authorization system using Spring Security for a microservices architecture, ensuring tight access control and security.
- Worked with DevOps to setup monitoring and alert system for software monitoring in production environment
- Worked in a team to build an image search engine using Django, PostgreSQL, Redis and reactjs. Implemented system monitoring using Prometheus, Grafana, and Sentry, reducing downtime by 20%.
- Spearheaded the development of a task scheduling system leveraging Celery and Redis, enabling reliable asynchronous processing for a large-scale Django application.
- Implemented server-side caching for the image search engine, improving response time by over 50%.
- Researched and implemented an improved image processing algorithm to reduce the size of processed images in the database, saving 30% of server storage.
Technical Skills
Languages
Education & Certifications
Electrical Engineering
Cape Coast Technical University
Specialization: Instrumentation and Control Systems Engineering
2019-08-01 - 2022-10-31
AWS Certified Cloud Practitioner
AWS
Languages
English - Fluent
Featured Projects
A Sanity plugin that provides a custom input component for importing CSV data directly into your Sanity content. It parses CSV files or pasted text and stores the data as a structured array of objects.
Key Features:
- File Upload: Upload .csv files directly.
- Paste Text: Paste raw CSV text into a text area.
- Parsing: Automatically parses CSV data using papaparse.
- Preview: Shows a preview of the loaded data (number of rows).
- Clear Data: Easily clear the imported data.
A mobile app that lets music groups plan songs to practice and sing at events
Key Features:
- authentication with Firebase Auth
- Setup songs
- Assign roles
MedVerify Mobile is a Flutter-based mobile application designed to verify the authenticity of pharmaceutical drugs through multiple verification methods. The app helps users identify genuine, expired, recalled, or counterfeit medications by scanning barcodes, FDA numbers, or performing text-based searches.
Key Features:
- Multi-Modal Drug Verification using real-time barcode scanning, OCR for FDA number extraction, fuzzy text search, and image upload for comprehensive drug validation.
- Local storage of scan history using Hive database
- Sentry integration for crash reporting and error monitoring
- Geographic data collection for verification analytics
- Firebase Cloud Messaging integration
- User feedback collection and submission
An AI-Based online learning platform that offers personalized learning experiences
Key Features:
- AI-generated quizzes and summaries for each learning module
- Personalized learning paths based on user preferences and performance
- Progress tracking and analytics to monitor learning outcomes
- Community features such as discussion forums and peer reviews
- Integration with third-party tools and platforms for enhanced learning experiences
Interested in working together?
I'm always open to discussing new projects, creative ideas or opportunities to be part of your visions.
Get In Touch
Let's Talk
Have a project in mind or just want to say hi? Feel free to reach out. I'm currently open to new opportunities and collaborations.