Sr. Ai And Ml Software Engineer, Lead Associate
CurrentProviding AI Autonomy and Generative AI thought leadership for the Booz Allen CTO and Digital Battlespace. Actively contributed to the development of a knowledge service and Mission Autonomy Stack applying Generative AI, focusing on Autonomy and Artificial Intelligence (A&AI) solutions. Established AWS Cloud infrastructure to reliably execute autonomy technology development, deployment, and sustainment. Developed AI-powered knowledge assistants leveraging AWS Bedrock for RAG (Retrieval-Augmented Generation. Researched applying Neuro-Symbolic AI and Large Language Models (LLM) in A&AI solutions. Supporting Engineering efforts on generative AI, for MLOps Python-based LLMs for ML Computer Vision and Language models. Developed and implemented data pipelines and Machine Learning models on the Databricks platform, supported data scientists for the Department of Defense’s Advana Analytics Platform Beacon People Analytics portfolio. Collaborated with Senior Data Scientists from DHRA on the design, deployment, and optimization of machine learning models and data pipelines. Conducted comprehensive briefings and training sessions on machine learning, Databricks, and SQL for the CDAO and DHRA. Provided strategic improvements and ad-hoc analysis for the CDAO Beacon community. Explored the integration of various NLP models, including Bert and LLMs, into the Advana platform to foster innovation in data analysis. Proficient in a variety of software stacks including Python, R, PySpark, Pytorch, TensorFlow, MLflow, Databricks, AWS Sagemaker, Huggingface models, Apache Airflow, SQL. Conducted research on cohort projects using Computer Vision, LLMs, Deep Learning and ML for NLP and acoustical models using CNNs and GANs.