Location: Toms River, NJ | Email: [email protected] | LinkedIn: www.linkedin.com/in/william-baltus | Github: https://github.com/WilliamBaltus
Designed and implemented advanced AI/ML, full-stack, and automation systems to modernize enterprise operations and written space-hardened aerospace software. Developed a production-scale Retrieval-Augmented Generation (RAG) platform leveraging Elasticsearch (BM25, dense/sparse vectorization) and Large Language Models (LLMs) to enhance retrieval accuracy across 1M+ records. Wrote Class B flight software for the LM400 satellite line using Python and C++, conducting rigorous unit, integration, and simulation-based testing with hardware replicas to meet aerospace compliance standards. Advanced enterprise payroll automation and compliance efforts by modernizing legacy HCM validation workflows into AI-enabled, data-driven systems supporting migration to scalable architectures. Most recently, led the design of reusable enterprise AI frameworks and standardized MLOps patterns using KServe, enabling consistent, secure model deployment across programs and powering governed, role-aware agentic workflows for procurement, finance, and operations.
AI Engineer Sr. | AIRES Lockheed Martin, Space - Jan 2026 to present
- Architecting and delivering reusable enterprise AI frameworks supporting MCP-based deployments, vector search, and RAG-as-a-Service, enabling standardized LLM application development across multiple programs and business units. ElasticSearch, FastAPI, Python, Streamlit.
- Designing and implementing a market intelligence agentic platform connecting procurement, proposal, finance, and operations teams to governed enterprise data sources through intelligent routing, policy enforcement, and role-aware agent specialization.
- Contributed to internal enablement efforts by pairing on complex architectural challenges, reviewing designs, and disseminating findings to improve overall AI platform maturity across AIRES initiatives.
- Establishing standardized MLOps patterns leveraging KServe to deliver scalable, model-agnostic inference services across secure environments.
Software Engineer Sr. | HCM Lockheed Martin, Space - Jan 2024 to Jan 2025
- Modernized Lockheed Martin’s legacy Payroll Validation System into a scalable, automated data validation platform, significantly reducing manual efforts and contributing to an estimated $8M in annual savings.
- Engineered core framework components across the UI, API, ingestion pipeline, and PostgreSQL data layer within a Python-based Fast API MVC architecture, automating ingestion, validation, and archival for SAP-integrated workflows pertaining to enterprise payroll.
- Implemented observability and performance tracking tools to surface validation metrics, ingestion status, and audit readiness for engineering and business teams.
- Contributed to an AI + MCP (Multi-Component Protocol) proof-of-concept, demonstrating the potential for AI-assisted rule generation and next-phase validation automation.
- Developed microservices using Java Spring Boot and PostgreSQL for enterprise-scale backend automation and API orchestration.
- Partnered closely with senior engineers, analysts, and HCM stakeholders to transition manual validation workflows into a reusable automation framework, improving reliability, scalability, and governance across HR systems.
AI/ML Engineer | Savant Lockheed Martin, Space - Jan 2023 to Jan 2024
- Engineered the backend and UI between IBM Watson AI–powered document retrieval and Savant using C# and .NET, integrating Blue Prism RPA workflows and Python automation scripts to streamline data synchronization and scheduled task execution.
- Contributed to an enterprise-level Retrieval-Augmented Generation (RAG) system that enhanced search across 1+ million records.
- Optimized an Elasticsearch cluster utilizing BM25, Dense, and Sparse Vectorization techniques.
- Leveraged pretrained Large Language Models (LLMs) and Transformer models from Hugging Face to create a private RAG-as-a-Service (RAGaaS).
- UI/UX modernization and overhaul to meet usage and maintainability needs for users.
- Enhanced hybrid search functionality with Reciprocal Rank Fusion (RRF) algorithm in Elasticsearch, ensuring semantic relevancy of retrieved documents for LLM processing.
- Conducted scoring evaluation and reranking to fine-tune the RAG system, achieving highly accurate responses.
Software Engineer | SSPL/Mustang Lockheed Martin, Space - Sept 2022 to Jan 2023
- Employed technical expertise in Python and C++ development to implement object-oriented principles in a collaborative and fast-paced environment.
- Successfully increased team velocity from .75 to 2.90 as scrum master over the course of 6 months to improve program efficiency and produce on time delivery of code.
- Developed, tested, and verified Space Software Product Line software systems built on top of NASA cFS with a software factory mentality to deliver LM400 satellites.
- Managed a backlog filled with Cameo work, assigned tickets to teammates, and provided assistance to associate engineers to translate FSW to diagrams.
- Test and debug critical software features in clean room with customer provided hardware in a loop.
Software Engineer Intern | SSPL/Mustang Lockheed Martin, Space - Aug 2021 to Sep 2022
- Employed technical expertise in Python and C++ development to implement object-oriented principles in a collaborative and fast-paced environment.
- Developed, tested, and verified Space Software Product Line software systems built on top of NASA cFS with a software factory mentality to deliver LM400 satellites.
Stevens Institute of Technology - Hoboken, NJ
Bachelor of Engineering in Software Engineering - 2022
Duke University - Durham, NC
Master of Science in Electrical and Computer Engineering - 2025
Programming/Scripting Languages:
Python | JS/TS | C/C++ | Java| C#| LABVIEW| Bash | PowerShell | Luau
AI Frameworks:
Langchain/Langgraph | LlamaIndex | Haystack | MCP | A2A
Frontend Frameworks:
React | Angular | Flask | Django | Streamlit | Vue.js | Remix.js
Backend Frameworks:
.NET Core | Node.js | FastAPI | Spring Boot
Automation Frameworks:
Blue Prism | Power Automate | Selenium | Robocorp | Beautiful Soup
Data & Vector Databases:
ElasticSearch | PostgreSQL | MongoDB | MySQL | SQL Server| RabbitMQ | S3
Deployment/Hosting:
Docker | OpenShift | Firebase | AWS | GCP | Heroku | KServe
Robot Frameworks:
ROS2