Stephen Sequenzia

About Stephen Sequenzia

As a Staff AI/ML Engineer, Architect and Technical Leader I specializing in building production-grade AI/ML systems by combining a deep expertise in ML, software, and data engineering. From designing scalable data pipelines to accelerating GPU training and deploying reliable inference systems, I design, develop and deploy solutions that manage the entire lifecycle of ML models & AI systems.Core ExpertiseArchitecting end-to-end MLOps platforms for experimentation, versioning, automated validation, seamless deployment, and continuous monitoring. I architect platforms that enable reproducible experiments, automated model validation, seamless deployment pipelines, and continuous monitoring. Extensive experience with distributed training frameworks including Ray and PyTorch DDP for scaling across multi-GPU and multi-node environments.Agentic AI Systems & Context Engineering: Architected and developed custom, multi-step AI agents using LangChain/ LangGraph; engineered bespoke Model Context Protocol (MCP) servers for real-time data integration with databases and object stores, and mentored colleagues on Agentic AI principles.High-Performance Computing & GPU Optimization: Deep experience with PyTorch optimization, CUDA programming, and distributed training. I\'ve achieved 94%+ training time reductions through profiling (Torch Profiler, Nsight) and architectural improvements to data loaders and model layers.Software Engineering & Architecture: Strong foundation in distributed systems design, object-oriented programming, and building scalable applications. Applying software engineering rigor (testing, CI/CD, code quality) to build scalable and maintainable ML architectures that can evolve with business needs.Data Engineering & Data Platforms: Designing Apache Arrow-native Data Lakehouses, building distributed pipelines and optimizing database performance (95%+ query time improvements) to break down data silos and unify access for ML workloads.Technical Leadership & Mentorship: Lead cross-functional teams of software, ML, and data engineers, fostering collaboration and driving technical excellence. I develop team capabilities through hands-on mentoring, establishing best practices, and growing junior engineers while delivering high-impact solutions.

Experience

1. Staff Ai Ml Engineer Technical Lead

   Lockheed Martin

   Oct 2022 — Present · Orlando, FL, US

   As both a technical lead and individual contributor specializing in machine learning and data-centric systems, I have driven technical initiatives and led a small but diverse team of software, machine learning, and data engineers to deliver innovative solutions that align with best practices and business objectives. My focus has been on fostering collaboration, promoting technical excellence, and enhancing team capabilities to achieve impactful results in AI and data projects.• Developed a comprehensive MLOps framework to streamline model training, experiment tracking, hyperparameter tuning, and deployment processes.• Optimized a PyTorch-based deep learning anomaly detection model, achieving a 94% reduction in training time.• Designed and implemented robust data pipelines to support machine learning and advanced analytic workflows.• Architected and developed a Data Lakehouse platform to effectively manage time series data, metadata, and a feature store for machine learning and visualization.• Redesigned a PostgreSQL database to enhance normalization, optimization, and scalability, resulting in a 90% reduction in query response times.• Deployed and maintained a Kubernetes cluster on AWS GovCloud, providing robust infrastructure for machine learning and data visualization platforms.

Skills

• Managed Services
• Integration
• Microsoft Cluster
• Network Security
• Javascript
• Php
• Cyber-Security
• Quickbooks
• Node.js
• Microsoft Exchange
• Network Administration
• Project Management
• IT Security Policies
• Vmware
• Sql Report Writing
• Cisco Technologies
• Nosql
• Mcse
• Crystal Reports
• Business Process
• Hyper-V
• IT Service Management
• IT Management
• Database Design
• Ubuntu
• Database Administration
• Dell Poweredge Servers
• Start-Ups
• IT Consulting
• Sonicwall
• Private Clouds
• Coldfusion
• Linux
• Asp.net
• Jquery
• Web Development
• Business Analysis
• Microsoft Sql Server
• Microsoft Dynamics
• San