10 years of software engineering experience with a strong background in the following:
Collecting labeled data and Neural Network (NN) training
Programming: Python, C++, MATLAB, PyTorch, TensorFlow, Keras
Satellite imagery, image processing, and geospatial-temporal image data
Geospatial Self-Organizing Map (SOM) data
Geospatial vector graphics and multi-modal dataset integration
Computer vision such as object detection and segmentation
Vector embedding, similarity search, and RAG architectures
Database schema design and large-scale geospatial data
CI/CD, AWS, and ML Ops pipelines
Building graph databases
Building PostgreSQL databases with vector store (pgVector), audit (pgAudit), edit (pgAdmin), and geographic (PostGIS) capability
Acquiring data and data wrangling for NN and transformer training and prompting
Graph Neural Network (GNN) frameworks, training GNNs, and extracting embedding vectors and likelihoods
Building Vision Transformer framework, training transformers, and extracting embedding vectors and likelihoods
Large Language Models (LLM) and implementing templates to guide responses
Vision Language Models (VLM) and Visual Question Answering (VQA) – experience with CLIP and LLaVA is a plus
