Contact & Social Links
Get in touch with Chintey Ley via email, Twitter/X, LinkedIn, or GitHub for collaboration, project inquiries, or general questions.
I am always open to connecting with fellow developers, potential collaborators, and anyone interested in my work. Whether you have a project idea, a technical question, or just want to say hello, feel free to reach out through any of the platforms below.
Preferred Contact Method
The fastest way to reach me is by email at chintey@ctey.dev. For professional inquiries or collaboration proposals, email or LinkedIn are best. I check both regularly and will prioritize messages related to active projects or time-sensitive opportunities.
Platforms
- 📧 Email: chintey@ctey.dev
- 🐦 Twitter/X: @kimteyley
- 💼 LinkedIn: Chintey Ley on LinkedIn
- 💻 Github: Chintey Ley on GitHub
What I Am Open To
I welcome messages about a variety of topics. Here are some of the things I am happy to discuss:
- Open source collaboration -- If you are working on an open source project and think my skills could help, I would love to hear about it.
- Freelance projects -- I am available for freelance web and mobile development work, particularly projects involving TypeScript, React, or React Native.
- Tech discussions -- I enjoy talking about software architecture, new frameworks, and development best practices.
- Code review requests -- If you want a second pair of eyes on your code, feel free to reach out.
- Mentorship -- I am happy to help newer developers who are learning web or mobile development and want guidance on their learning path.
Response Time
I typically respond to emails and LinkedIn messages within one to two business days. For Twitter/X messages, response times may be a bit longer since I check direct messages less frequently. If your matter is urgent, email is the most reliable way to reach me quickly.
If you have not heard back within a few days, feel free to send a follow-up message. Sometimes things get buried, and I would rather hear from you twice than miss your message entirely.
African Wildlife Classifier
An AI-powered image classifier that identifies African wildlife species with 95.6% accuracy using a fine-tuned AlexNet deep learning model.
About Chintey Ley
Learn about Chintey Ley, a software developer specializing in TypeScript, React, React Native, and Python, with experience in web, mobile, and machine learning projects.