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Little details about me

👨🏾‍💻 AI/Machine Learning Engineer interested in building production and efficient AI/ML systems to solve real-world problems and drive business value

☁️ Proficient in building, deploying and optimizing AI/ML models on cloud platforms, ensuring scalability, reliability, and cost-effectiveness in production environments.

📈 Been working in various aspects of AI and ML, particularly in the field of NLP and all things tabular data, and now generative AI (LLMs)

📚 Actively engaged in staying abreast of the latest advancements in AI particularly in the field of generative AI, specifically LLMS

⚫️ My top technologies ⚫️ ⚫️ My top interests ⚫️
• Python, Databases(MySQL, PostgreSQL, MongoDB, vector databases)
• PyTorch, Tensorflow, Scikit-Learn
• NumPy, Pandas
• GCP, AWS
• Docker, FastAPI, Flask, Airflow, Spark
• DVC, Weights & Biases, Kubernetes
• LLMs
• Machine learning engineering
• MLOps
• Generative AI
• Natural Language Processing
• All things tabular data
• REST API
• Cloud Computing

📭 You can reach out to me on Hyacinth Ampadu | LinkedIn and also in my email here [email protected]

Hyacinth Ampadu's Projects

dsnd_term2 icon dsnd_term2

Contains files related to content and project of DSND Term 2

galeria icon galeria

Udacity Gallery app for student use on Deploying Applications with Heroku course.

kidfriendlysocial icon kidfriendlysocial

A safe social media webapp using NLP models(BERT and GPT3) for bad language detection and content recommendations, deployed using docker and Kubernetes on digital ocean

madewithml icon madewithml

Learn how to responsibly deliver value with ML.

mlep-public icon mlep-public

Public repo for DeepLearning.AI MLEP Specialization

mlops_roadmap_and_curriculum icon mlops_roadmap_and_curriculum

Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to solve real life problems

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