π P.O Box 10541-80101, Mombasa, Kenya
π +254 740 964 423
βοΈ oduordalienst@gmail.com
π www.dalienst.co.ke
π± GitHub: @dalienst
π LinkedIn: @dalienst-oduor
Full Stack Engineer, Machine Learning Engineer, and IT Consultant with expertise in Django REST Framework, React.js, Next.js, PostgreSQL, and DevOps. Experienced in building scalable web and mobile applications, developing secure and high-performance backend systems, and implementing digital marketing strategies. Passionate about leveraging technology to solve real-world problems, optimize business processes, and enhance user experiences.
- Python (Advanced)
- JavaScript (Advanced)
- SQL (Advanced)
- Django & Django REST Framework (DRF)
- FastAPI
- PostgreSQL, MySQL
- RESTful API Development
- Authentication & Authorization (JWT, OAuth2)
- Caching & Performance Optimization
- ReactJS, Next.js, React Native
- Tailwind CSS, Material UI, Bootstrap
- Docker & Containerization
- CI/CD Pipelines (GitHub Actions, Railway, Render)
- Cloud Platforms (Google Cloud, Vercel, Railway)
- IT Technical Support & Networking
- Digital Marketing (SEO, Content Creation, Social Media)
- Web Security & Best Practices
- Payment Integrations (M-Pesa, Pesapal, Mastercard)
- Business Development & CRM
π July 2024 - Present (Remote - Kenya)
- Designed and developed scalable backend systems using Django and DRF.
- Built and deployed secure RESTful APIs for fintech, logistics, and enterprise applications.
- Integrated payment gateways (M-Pesa, Pesapal) into e-commerce and service platforms.
- Implemented authentication systems (JWT, OAuth2) for enhanced security.
- Optimized database performance using PostgreSQL indexing and caching.
Key Achievements:
β
Built a payment gateway MVP integrating M-Pesa and card payments.
β
Developed an inventory management system with barcode and QR code support.
β
Designed and deployed a logistics API for real-time tracking and route optimization.
π July 2024 - February 2025 (Contract - Client Project)
- Built a mobile application using React Native and Expo.
- Developed a robust backend API with Django REST Framework.
- Deployed the API on Railway for reliable and scalable backend operations.
- Published the app to the Google Play Store (Closed Testing).
- Developed an admin panel using Next.js for managing operations.
Key Achievement: Improved community engagement for LegioMaria members, enhancing communication and event coordination.
π September 2024 - January 2025 (Contract - Client Project)
- Developed a Next.js frontend for showcasing courses.
- Built the API using Django REST Framework (DRF) for course management.
- Deployed the API on Railway for fast and reliable service.
- Implemented email notifications for course bookings.
- Created an admin panel for managing courses and bookings.
Key Achievement: Improved user experience and admin efficiency for course management.
π June 2023 - September 2023 (Mombasa)
- Provided technical support for IT infrastructure.
- Installed and maintained Windows & Linux operating systems.
- Configured network infrastructures for secure connectivity.
- Assisted in deploying IT equipment to schools and businesses.
Key Achievement: Strengthened network reliability and improved digital accessibility for educational institutions.
π 2023 - Present
- Developed and maintained websites for businesses.
- Provided technical support and troubleshooting.
- Created and executed social media and digital marketing campaigns.
- Assisted clients with SEO, Google Ads, and Facebook Ads.
- Developed a Next.js website for therapy services.
- Built a secure admin portal for therapists.
- Deployed the API on Vercel using PostgreSQL.
- Launched the platform to support 100+ therapy sessions per quarter.
- Built a payment gateway MVP supporting M-Pesa, card payments, and digital wallets.
- Designed a merchant API for seamless business integration.
- Developed an API for real-time tracking, route optimization, and inventory management.
- Integrated QR code scanning for tracking products across warehouses.
- Designed an admin dashboard for managing fleet operations.
Machine Learning Weekly Program (Machine Learning Engineer)
- Implementing weekly ML projects with Scikit-learn, TensorFlow, and Keras.
- Working on Computer Vision (image classification, object detection).
- Exploring NLP applications (sentiment analysis, text generation).
π Bachelor of Science in Computer Science
π Kenya Certificate of Secondary Education
- Networking Essentials - Cisco NetAcad
- Google Digital Marketing & E-commerce (In Progress)
- Google Hustle Academy - HubSpot Academy
βοΈ Podcasting & Blogging
βοΈ Tech & Business Trends
βοΈ Traveling & Photography
βοΈ Driving

