Emmanuella Sule

An experienced and versatile AI expert with a strong focus on Deep Learning, Transformer-based Models, Machine Learning, Natural Language Processing (NLP), and Computer Vision.

My approach is highly agile, transparent, and structured. I tackle the project's development from zero to hero and have a strong commitment to quality.

💡 Expertise

◼️ Extensive experience in Deep Neural Networks from scratch implementation and training, such as ResNet, UNet, GANs, and diffusion models

◼️ Proficient in designing system architectures for scalable AI applications and custom neural network design

◼️ Achieved significant prediction accuracy and runtime improvements using techniques such as data engineering, feature engineering, transfer learning, data augmentation, dimensionality reduction (PCA, t-SNE), and deep model architecture.

◼️ Successfully built an end-to-end language translation system using transformer architecture.

◼️ Expertise in Computer Vision, including imaging/video systems with OpenCV and Python

◼️ Developed a real-time face recognition system for classroom attendance using ESP32, OpenCV, and Blynk

◼️ Skilled in applying data analytics and machine learning in medicine, marketing, business, and finance, to drive business growth, optimize marketing strategies, and discover patterns.

💡 Technical Skills

Languages: Python, R, SQL, MySQL

Developer Tools: Git, GitHub, GitLab, CLI tools, VS Code, Jupyter Notebooks, Google Colab

Libraries: PyTorch, Keras, scikit-learn, LightGBM, XGBoost, NLTK, pandas, NumPy, HuggingFace Transformers, OpenCV, YOLO, TensorFlow, Keras

Databases: MySQL, BigQuery, SQLServer

💡 Key Strengths:

• Clean, efficient code

• Excellent Communication

• Committed to delivering quality solutions.

• Timely Delivery