As a highly skilled Deep Learning Engineer with a Master's degree in Computer Modeling of Knowledge and Reasoning, I offer top-tier services in developing and deploying cutting-edge deep learning models for various applications. My expertise includes:
- Computer Vision: Custom object detection, image classification, and segmentation models.
- Natural Language Processing: Sentiment analysis, text classification, and chatbot development using advanced techniques like RAG and MoE.
- Time Series Prediction: Forecasting models for various industries, including agriculture and finance.
- Generative AI: Experience with GANs for image generation and style transfer.
My services include:
- Custom model architecture design and implementation
- Data preprocessing and feature engineering
- Model training, fine-tuning, and optimization
- Integration of models into existing systems or applications
- Performance evaluation and improvement
- Deployment strategies for cloud or edge devices
With expertise in TensorFlow, PyTorch, and Keras, I ensure efficient and scalable solutions. My experience includes working on projects like AgriTechly, where I developed over 20 deep learning models for agricultural applications.
I've published research papers on enhancing model performance and optimizing crop selection using machine learning. My work has consistently achieved high accuracy rates (98%+) and fast response times.
Whether you need a proof-of-concept, a production-ready model, or optimization of existing solutions, I can deliver results that drive business value. Let's discuss your project and how I can help you leverage the power of deep learning for your specific needs.