Brian P.

AI & ML | Data Science | Software Development | Multi-Cloud, Hadoop | API | Ph.D.

𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝗖𝗼𝗺𝗽𝗹𝗲𝘅 𝗗𝗮𝘁𝗮 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 𝗶𝗻𝘁𝗼 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀
With over 13 years of expertise in AI/ML engineering, data science, software development, cybersecurity, and cloud infrastructure, I deliver enterprise-grade solutions that drive measurable business outcomes. My Ph.D. research focused on anomaly detection in network traffic and IoT monitoring using ensemble methods on Zeek flow data and Isolation Forest on PCAP data.

I've led transformative projects for leading organizations, including UnitedHealth Group/Optum, Merrill Lynch, Morgan Stanley, and DTCC—delivering solutions that enhance operational efficiency and unlock data-driven insights.

💡 𝗪𝗵𝗮𝘁 𝗜 𝗕𝗿𝗶𝗻𝗴 𝘁𝗼 𝗬𝗼𝘂𝗿 𝗣𝗿𝗼𝗷𝗲𝗰𝘁

𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴
Production-ready ML solutions using TensorFlow, PyTorch, Keras, and Scikit-learn. Expertise in deep learning, NLP (sentiment analysis, NER, text classification), computer vision, and ensemble methods (LSTM, GRU, RNN). Fine-tuned LLMs (GPT-4, Claude) and built RAG pipelines using LangChain, LlamaIndex, and LlamaParse. Developed AI agents using LangGraph and AutoGen for workflow automation.

𝗟𝗟𝗠 & 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜
Advanced LangChain implementations for context-aware AI applications, including conversational agents, document Q&A systems, and automated content workflows. Experience with vector databases (Pinecone, ChromaDB, Weaviate), embedding models, and prompt engineering. Built custom data loaders to process unstructured data (PDFs, text files, web pages) for semantic search.

𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲
Complete ML lifecycle from data wrangling to deployment. Designed scalable ETL pipelines using Hadoop, Spark, Hive, and Pig—achieving 40% improvements in processing efficiency. Proficient in Python, R, SQL, and visualization tools (Tableau, Power BI, Matplotlib, Pandas). Created predictive models for churn, fraud detection, and demand forecasting.

𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁
Application development with Node.js, Express.js, React, Next.js, and Vue.js. RESTful API design, GraphQL, and microservices architecture. Backend development using Python (FastAPI, Django, Flask), database integration (PostgreSQL, MongoDB, Redis), and real-time applications using WebSockets.

𝗖𝗹𝗼𝘂𝗱 & 𝗠𝗟𝗢𝗽𝘀
Infrastructure across AWS (Lambda, S3, EC2, SageMaker), GCP (BigQuery, Vertex AI), and Azure. MLOps with Docker, Kubernetes, Terraform, Jenkins, and CI/CD pipelines. GPU telemetry using NVIDIA DCGM with Prometheus/Grafana stacks. Infrastructure as Code for scalable deployments.