I will train and fine tune custom deep learning and generative ai models
About this Gig
Do you need a custom AI model that goes beyond generic APIs?
I am an AI Research Engineer specializing in Deep Learning, Generative AI, and High-Performance Computing. I don't just use libraries; I engineer robust models, from Diffusion Transformers (DiT) to custom LLMs.
My Expertise:
- Generative AI: Custom CycleGAN and GAN training for image-to-image translation and style transfer.
- LLMs: Fine-tuning Llama 3, Mistral, or Gemma on your proprietary data using LoRA/QLoRA.
- Computer Vision: Training YOLOv8/v9 for object detection and custom OCR pipelines.
- Performance: Expert in CUDA C++ optimization to reduce training/inference time by up to 60%.
What I Deliver:
- Custom Training: Models trained specifically on your dataset for maximum accuracy.
- Research Implementation: I can reproduce SOTA papers (e.g., Diffusion Transformers) for your business use case.
- Optimization: Models optimized with ONNX or TensorRT for low-latency deployment.
Tech Stack: PyTorch, TensorFlow, HuggingFace, CUDA.
Please contact me before ordering to evaluate your dataset and compute needs.
My Portfolio
FAQ
Do I need to provide the GPU for training?
For small fine-tuning jobs, I can use my resources. For Standard/Premium training (large epochs), I will use your cloud credentials (AWS/Lambda/RunPod) or I can include compute costs in a custom offer.
What is the difference between RAG and Fine-Tuning?
RAG connects an AI to your documents for information retrieval. Fine-tuning (this gig) changes the model's behavior or teaches it a new "language" (e.g., legal speak, medical diagnosis).
Can you implement a specific research paper?
Yes. My background involves implementing complex architectures like Diffusion Transformers and Attention mechanisms from scratch. Send me the paper link for a quote.

