About
Passionate about AI, Data Science and software development, I transform complex challenges into innovative solutions. With experience in companies, startups and research, I combine technical expertise and strategic vision to create a tangible impact in the tech world.
With a background in both research and practical application, I bring a unique perspective to every project. My work spans from developing cutting-edge speech recognition systems for underrepresented languages to creating user-friendly mobile and web applications that solve real-world problems.
My expertise spans mobile app development with Flutter, web development with React and Node.js, and data engineering using Python, TensorFlow, and Apache Spark. I combine technical skills with problem-solving abilities to deliver high-quality solutions that exceed client expectations.
Skills
Below are my core technical competencies developed throughout my career, showcasing my expertise across different domains of software development and data science.
Programming Languages
- Python for data science & backend
- JavaScript/TypeScript for web development
- Dart for Flutter mobile applications
- HTML5/CSS3 for responsive interfaces
- Unit and Integration testings
Web Development
- React.js with Hooks & Redux
- NextJS with SSR, CSR, Zustand
- Angular with component architecture
- Node.js with Express & Microservices
- Responsive UI with modern CSS frameworks
Mobile Development
- Flutter with BLoC & Clean Architecture
- Native iOS with Swift UI
- Cross-platform app optimization
- Mobile UX/UI best practices
- App deployment on AppStore and PlayStore
- Push notifications
Data Science & AI
- Machine Learning with scikit-learn
- Deep Learning with TensorFlow & PyTorch
- Natural Language Processing (NLP)
- Data visualization & exploratory analysis
Cloud & DevOps
- AWS services (S3, EC2, Lambda, RDS)
- Docker containers & Kubernetes
- CI/CD pipelines with GitHub Actions
- Infrastructure as Code (IaC)
Databases & Storage
- SQL databases (MySQL, PostgreSQL)
- NoSQL solutions (MongoDB, Firestore)
- Firebase real-time database
- Data modeling & optimization
Resume
My professional journey is a testament to my skills, dedication, and continuous growth. With hands-on experience in various projects, I've honed my abilities in mobile and web development, data science, and more. View my resume to discover how my expertise aligns with your project needs.
Education
Data Engineer Training
March 2024 - Present
IT School, Brussels
Intensive training program focused on data engineering fundamentals and advanced concepts.
Master's Degree in Data Science
Oct 2020 - Nov 2023
University of Yaounde, Cameroon
Research on speech recognition for poorly endowed languages using self-supervised methods.
Bachelor's Degree in Computer Science
Oct 2016 - Jul 2020
University of Douala, Cameroon
Acquired fundamental skills of a programmer engineer to enter the professional world.
Professional Experience
VALIDE, Co-Founder
2021 - 2025
Yaounde, Cameroon
Leading innovative projects and fostering business growth.
Surfyn
Jan 2023 - Dec 2023
Part time Remote, France
Contributed to Surfyn's mobile and web platforms, focusing on feature additions and user experience enhancements. Created the new application VyHome and web landing page.
Afrik Delices, Founder
Sep 2023 -
Yaoundé - Cameroun
Developed an application for sharing and promoting African cuisine.
Favero BTP
Aou 2023
Freelance, Cameroon
Developed the website for a construction company in Cameroon and a dashboard.
Fadibay
Jan 2024 - Jui 2024
Novalitix SARL - Yaounde, Cameroon
Led the development of a marketplace application.
Fit veggie, Freelance
Oct 2021 - Apr 2022
Freelance, France
Designed a mobile application for nutritional and fitness advice.
Portfolio
Explore a showcase of my diverse projects and accomplishments. Each entry reflects my passion for innovation and my commitment to delivering outstanding results. Dive into my portfolio to witness the impact of creativity and expertise in action.
- All
- Mobile Apps
- Web Projects
Scientific Research
My research focuses on developing innovative approaches for speech recognition in low-resource languages, combining self-supervised learning techniques with multilingual methods to improve performance for under-represented languages.
Publication Highlights
Speech Recognition for Low-Resource Languages
Pindoh, P. D., et al. (2023). "Learning Speech Representations for Poorly Endowed Languages Using Self-Supervised and Multilingual Methods." International Conference on Research and Innovation (CRI'2023). Springer, Cham. DOI: 10.1007/978-3-031-63110-8_7
Impact: This paper was selected for publication in the special issue of the ARIMA journal (HAL Archive), recognizing its significant contribution to the field of speech processing for under-resourced languages.
Research Focus Areas
- Self-Supervised Learning for Speech: Developing techniques that leverage unlabeled audio data to learn robust representations
- Cross-Lingual Transfer Learning: Utilizing knowledge from high-resource languages to improve models for low-resource languages
- Speech Recognition Systems: Building end-to-end systems that perform well despite limited training data
- African Language Technologies: Focusing on improving speech technology access for African languages
Research Impact
Multilingual Approach
Developed a framework that works across multiple African languages simultaneously
Resource Efficiency
Created models that require significantly less training data while maintaining accuracy
Language Inclusivity
Bridging the technological gap for underrepresented African languages
Open Research
Commitment to sharing knowledge through peer-reviewed publications
Contact
Feel free to reach out and connect with me. Whether you have an exciting project in mind, want to discuss collaboration opportunities, or simply have a question, I'm here to listen. Your inquiries are valuable, and I look forward to the possibility of working together to bring your ideas to life.