I will build custom deep learning models and agentic ai systems in python
About this Gig
Stop using basic models for complex problems. Get research-grade Deep Learning solutions.
As a Research Data Scientist, I don't just "run code"I architect intelligent systems. Whether you need a Convolutional Neural Network (CNN) for computer vision, an LSTM for time-series forecasting, or a Multi-Agent System for complex simulations, I provide state-of-the-art Deep Learning models tailored to your specific data.
Advanced Deep Learning Services:
- Neural Network Architecture: Custom ANN, CNN, RNN, and Transformer models.
- Agentic AI: Developing multi-agent reinforcement learning (MARL) environments.
- Computer Vision: Advanced object detection, segmentation, and tracking (OpenCV/PyTorch).
- Generative AI: Fine-tuning LLMs and integrating RAG (Retrieval-Augmented Generation).
- Causal Deep Learning: Identifying causal relationships within deep neural structures.
- Model Optimization: Quantization, pruning, and hyperparameter tuning for production.
Expertise:
Website development
Programming language:
Python
APIs:
Google Cloud Vision API
Tools:
TensorFlow
Frameworks:
PyTorch
Other Data Science & ML Services I Offer
FAQ
Do you work with Large Language Models (LLMs)?
Yes. I can help with fine-tuning, prompt engineering, and building RAG pipelines using Hugging Face or OpenAI.
2. Can you handle large datasets?
Yes. I am experienced in building efficient data loaders and using cloud environments (AWS/Colab) to train models on massive datasets without memory bottlenecks.
3. Do you provide model documentation?
Always. Every project includes a detailed Jupyter Notebook or README explaining the architecture, the loss functions used, and the performance metrics (Accuracy, F1-Score, etc.).

