daddydrac - Overview

💫 About Me:

I'm a software engineer focused on building scalable, composable systems that combine modern backend frameworks, functional programming, and containerized infrastructure. I specialize in semantic knowledge graph engineering using RDF, OWL, and SPARQL to transform unstructured data into machine-interpretable ontologies. My work blends AI integration, automated data pipelines, and reproducible data science workflows, building custom deep learning models in PyTorch, emphasizing modular code that teams can extend collaboratively. As a technical leader, I drive architecture, mentor engineers, and ensure projects align with performance, and domain semantics. I'm especially passionate about using ontologies and structured reasoning to enable explainable, interoperable systems at enterprise and national scale.

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Open source Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in PyTorch, OpenCV (compiled for GPU), TensorFlow 2 for GPU, PyG and NVIDIA RAPIDS

Jupyter Notebook 87 10
Transfer COCO data set annotations to Darknet YOLO annotations format. Hence, Dark(net) Chocolate(COCO)!

Python 34 3
Deploy a Flask-based microservice (along with Postgres and React) to a Kubernetes cluster

Python 18 4
Automated install of auth, PostgresSQL, VueJS front end and Flask in Docker or Docker swarm

Python 6 1
Machine Learning for Industrial IoT Applications: Predict how long a part will work before performance degrades Perect for 5G cell phone towers, mining, aerospace, large/heavy equipment, farming, a…

Jupyter Notebook 39 11
Computer vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA 11.8, TensorRT inference accelerator for Tensor cores, CuPy (GPU drop in replacement for Numpy),…

Jupyter Notebook 157 23