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Machine Learning Engineer

Skills

Amazon TextractAWSComputer VisionData analysisData pipelinesData QADeep LearningDockerFastAPIHuggingFaceKerasMachine LearningML appsNLPNumPyPythonPyTorchSageMakerScikit-learnSQLStreamlitTensorFlowTransformers

Bio

Hi there,

I am a Machine Learning Engineer with two years of experience working on a multitude of different disciplines in tech. I have worked on the entire ML Pipeline from cleaning datasets, modeling on data, to then deploying the models onto a web-app. Along with helping my direct research team, I both led and participated in published research endeavors across my last company. I am ready to expand my skills in both ML modeling and Software Engineering by exploring new challenges and problems! :D

Languages: Python, C++, Java, R, SQL
Machine Learning Techniques: Regularization, Regression, Clustering, Classification, Segmentation, Object Detection, Dimensionality Reduction, Fine-tuning, Cross Validation, Hyperparameter Tuning, Computer Vision, Natural Language Processing (NLP)
AI/Machine Learning Algorithms: Neural Networks, Autoencoders, Convolutional Neural Networks, Transformers, GANs, LLMs, GenAI, Embedding Models
Machine Learning Frameworks & Libraries: PyTorch, Tensorflow, Keras, HuggingFace, Scikit-Learn, NumPy, Jupyter Notebooks, LangChain
Visualization Tools: Pandas, Matplotlib, Seaborn, Plotly, Excel
Databases: MySQL
Cloud/Technologies: AWS (S3, EC2, Sagemaker, Textract), Docker, Streamlit, FastAPI, Weights and Biases, ChromaDB

Besides work, I also am a fanatic of soccer, and a casual gamer and reader.

Thank you,

Adam

Location

San Diego, California, US Flag of

 37 Last updated about 1 week ago