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Programming & Development Programming & Software

Train/Fine-Tune ML model

$60/hr Starting at $300

Need a custom AI model that actually fits your data and use casenot a generic offtheshelf demo? I help startups, researchers, and teams build and finetune deep learning models endtoend using Hugging Face, PyTorch, TensorFlow, and JAX.


I can work on NLP, vision, tabular, or multimodal projects and deliver clean, reproducible code plus clear guidance for deployment.


What I can do for you

Model selection and architecture design (transformers, CNNs, RNNs, etc.)

Finetuning pretrained models (Hugging Face, torchvision, tfhub, etc.)

Training from scratch on your custom dataset (classification, regression, generation)

Data preprocessing, augmentation, and dataset pipelines

Evaluation, metrics, and error analysis

Exporting models for production (ONNX, TorchScript, SavedModel, etc.)


Tech stack

Frameworks: PyTorch, TensorFlow/Keras, JAX/Flax

Model hubs: Hugging Face (Transformers, Datasets, Diffusers)

Tasks: text classification, summarization, chat/QA, recommendation, image classification, detection, segmentation, timeseries, and more


Example use cases

Finetuned LLM for your companys documents

Custom classifier for support tickets or leads

About

$60/hr Ongoing

Download Resume

Need a custom AI model that actually fits your data and use casenot a generic offtheshelf demo? I help startups, researchers, and teams build and finetune deep learning models endtoend using Hugging Face, PyTorch, TensorFlow, and JAX.


I can work on NLP, vision, tabular, or multimodal projects and deliver clean, reproducible code plus clear guidance for deployment.


What I can do for you

Model selection and architecture design (transformers, CNNs, RNNs, etc.)

Finetuning pretrained models (Hugging Face, torchvision, tfhub, etc.)

Training from scratch on your custom dataset (classification, regression, generation)

Data preprocessing, augmentation, and dataset pipelines

Evaluation, metrics, and error analysis

Exporting models for production (ONNX, TorchScript, SavedModel, etc.)


Tech stack

Frameworks: PyTorch, TensorFlow/Keras, JAX/Flax

Model hubs: Hugging Face (Transformers, Datasets, Diffusers)

Tasks: text classification, summarization, chat/QA, recommendation, image classification, detection, segmentation, timeseries, and more


Example use cases

Finetuned LLM for your companys documents

Custom classifier for support tickets or leads

Skills & Expertise

APIArtificial IntelligenceCloud ComputingGISJSONMicrosoft AzureModelingOpen SourceProgrammingPythonSQLVersion ControlWeb ScrapingXML

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