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AI Data Scientist Intern with training in text-to-image synthesis
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Competencies
Used Python for AI models development, including implementing RNNs and CNNs for image synthesis.
Participated in AI training, focusing on applying ML models for tasks like text-to-image synthesis.
Gained experience with CNNs and RNNs in deep learning projects during internship training.
Proficient in C, Java (basic), and Python, used for AI project development and implementation.
Education
Languages
Summary
Motivated AI intern experienced in applying machine learning concepts to real-world projects, particularly in text-to-image synthesis using RNNs and CNNs. Skilled in Python and basic programming, with a focus on AI model development.
Key Achievements
- Completed AI-Data Scientist skill training, enhancing knowledge in AI and machine learning.
- Applied concepts from training to a text-to-image synthesis project utilizing RNNs and CNNs.
- Gained hands-on experience in AI model development and deployment during internship at APPC.
Experience
Intern
Completed AI-Data Scientist skill up-gradation training, applying learned concepts to a text-to-image synthesis project using RNNs and CNNs.