AI & Machine Learning Engineer focused on building intelligent systems and solving complex problems with data-driven solutions.
Learn MoreI’m an AI and Machine Learning engineer specializing in intelligent systems, deep learning models, and natural language processing. My focus is on designing scalable AI solutions, from hierarchical transformers to advanced classification pipelines, that deliver meaningful insights and real-world impact.
Developed a long-form text classification model using hierarchical DistilBERT to predict college matriculation outcomes.
Built a generative AI MVP on GCP Vertex AI and PaLM2 to provide dynamic food recommendations based on dietary needs.
Computer vision system that identifies and solves complex puzzle pieces using edge detection and a genetic algorithm.
Developed Linux shell utilities and an image steganography system embedding metadata invisibly within images.
I’m a mid-level AI & Machine Learning engineer with experience in high-security defense environments, healthcare data automation, and applied AI research. My expertise spans deep learning, NLP, scalable ML pipelines, and cloud AI deployment.
Refactored and modernized existing modeling systems to support new integrations in a secure DoD environment. Applied machine learning, data modeling, and simulation tools to enhance decision-making, while adhering to strict CUI handling protocols and DoD cybersecurity standards.
Improved operational efficiency by automating data pipelines, reducing data request turnaround times. Developed and optimized SQL pipelines for large-scale healthcare data validation and collaborated with offshore teams for automation frameworks.
Designed a hierarchical BERT + MetaMLP stacking ensemble pipeline for NLP-based essay analysis, achieving F1 score of 0.95 and AUC of 0.997. Combined semantic probabilities with applicant metadata for superior predictive accuracy.
Feel free to reach out for collaboration, opportunities, or any questions about my work.