Phone Number: 616-994-2523 | Location: Orlando, FL | Email: [email protected] | Linkedin: www.linkedin.com/in/leonardo-j-ramirez
Experienced Staff Fullstack Engineer and AI/ML Tech Lead with a proven record of architecting enterprise-level AI systems - including Retrieval-Augmented Generation (RAG) and HCM data validation frameworks - to modernize legacy processes and optimize data pipelines for LLM readiness. Adept at securing project funding through impactful prototypes and executive demonstrations, enhancing search and validation accuracy with advanced Elasticsearch and Python MVC architectures, and integrating AI + MCP solutions for future-ready automation. Combines strong leadership and technical expertise from corporate and military environments to deliver innovative, scalable solutions and mentor cross-functional teams toward operational excellence.
Embry-Riddle Aeronautical University - Daytona Beach, FL
Bachelor of Science - 2018
Concentration in Astronautical Engineering
Graduated with 3.12 GPA
Staff AI/ML Engineer - Tech Lead Lockheed Martin, Space - HCM Team - Jan 2025 to current
- Architected and currently lead a 10-member cross-functional engineering team modernizing Lockheed’s legacy Payroll Validation System into a scalable HCM Data Validation Platform, reducing manual data comparison efforts and saving an estimated $8M annually.
- Designed and implemented an end-to-end framework engine integrating UI, API, Ingest Pipeline, and PostgreSQL DB components within a Python-based MVC architecture, automating ingestion, validation, and backup processes for SAP-driven HCM workflows.
- Developed schema onboarding logic to convert HCM mapping templates into standardized metadata-driven ingestion schemas, enabling rapid adoption of new use cases across multiple business areas.
- Integrated with SAP Facade Layer APIs to synchronize validation logic across HCM and downstream Business Analytics Systems (BAS), ensuring data integrity and consistency across payroll operations.
- Implemented metrics, observability, and progress dashboards for HCM and BAS teams, improving visibility into validation runs, ingestion status, and audit readiness.
- Led the introduction of an AI + MCP (Multi-Component Protocol) proof-of-concept, demonstrating the potential for AI-assisted rule generation and validation automation in future HCM modernization phases.
- Partnered with HCM leadership and developers to convert previously manual validation workflows into a reusable automation engine, establishing a foundation for scalable, intelligent data governance across HR systems.
Senior AI/ML Engineer Lockheed Martin, EO | Space - SCM and Savant Team - Jan 2024 to Jan 2025
- Secured funding by delivering a robust Agentic RAG solution capable of processing queries and uploaded documents for enterprise use, showcasing its potential to streamline advanced question-and-answer capabilities.
- Built an Agentic RAG framework using LangGraph, integrating document loaders with Vision-Language Models (VLMs) for summarization, decision-making logic for vectorized search, chat history management, and document grading to rank sources based on query relevance.
- Developed and fine-tuned the RAG system with scoring evaluations, reranking algorithms, and an iterative hallucination detection grader to refine LLM-generated responses, achieving highly accurate and reliable outputs.
- Developed an enterprise-level Retrieval-Augmented Generation (RAG) system to enhance search functionalities across over 1 million records, incorporating an ETL processor to feed and ingest unstructured data into Elasticsearch for LLM readiness.
- Optimized hybrid search functionality in Elasticsearch by implementing advanced chunking strategies, BM25, Dense Vectorization, Sparse Vectorization, and Reciprocal Rank Fusion (RRF) techniques, ensuring efficient retrieval of semantically relevant documents.
Senior Full Stack Engineer - Tech Lead Lockheed Martin, EO | Space - SCM Team - Oct 2022 to Jan 2024
- Provided technical and strategic support to cross-functional teams, enhancing application development and ensuring project success through collaboration and resource optimization.
- Advocated for team initiatives by engaging with executives and leadership, securing funding through compelling prototypes and demonstrations that showcased the feasibility and value of proposed projects.
- Conducted engaging product demonstrations of AI solutions, highlighting their capabilities in addressing business challenges and driving organizational decision-making.
- Migrated and improved legacy products to enhance maintainability and ensure long-term operational feasibility, streamlining processes for Operations and Maintenance (O&M).
- Collaborated with vendors to educate teams on Elasticsearch capabilities, fostering the development of AI-driven solutions and organization-wide adoption of advanced technologies.
Cyber Warfare Officer United States Army, Southwest ARCPB, CPT 184 - Mar 2024 to current
- Developed custom malware, toolkits, and rootkits for tactical cyber defense and offensive security operations, contributing to Red Team engagements and penetration testing exercises.
- Led the design and implementation of cybersecurity automation scripts in Python, PowerShell, and Bash, enabling rapid analysis and mitigation of cyber threats.
- Built secure software solutions to simulate adversarial attacks, improving the Army’s cyber readiness through advanced threat modeling and real-world exploit development.
- Mentored and trained a team of 10 on secure coding practices, reverse engineering, and exploit development, fostering a highly skilled cybersecurity force.
- Engineered proof-of-concept (PoC) cyber tools leveraging C#, Python, and JavaScript, integrating them into mission-critical operations.
- Collaborated on the implementation of offensive security measures, including automated reconnaissance tools, zero-day vulnerability analysis, and privilege escalation techniques.
Programming Languages:
Javascript/Typescript | Python | C# | SQL | Java
Scripting Languages:
Bash | PowerShell | Python | Javascript | PHP | Ansible | Terraform
AI / ML & RAG Frameworks:
LangGraph | Langchain | LlamaIndex | Haystack | OpenAI API | MCP | A2A | Hugging Face Transformers
Web Application Frameworks:
Vue | Blazor | Angular | Nuxt | Django | Streamlit | Remix.js | FastAPI | Flask | Streamlit | .NET Core | Node.js | Express.js | Blazor | graphQL
Data & Vector Databases:
ElasticSearch | PostgreSQL | MongoDB | MySQL | SQL Server | Redis | RabbitMQ | Pinecone | FAISS
DevOps / Cloud Infrastructure:
Openshift | Kubernetes | Docker | Heroku | Netlify | Firebase | Helm | Gitlab CI/CD | AWS | Azure | GCP
Security & Compliance:
STIG Hardening | IAM / RBAC | Secrets Management | Vulnerability Scanning (Trivy, Anchore)
Soft Skills
Technical Leadership | Cross-Functional Collaboration | Stakeholder Communication | Rapid Prototyping | Consulting
TS/SCI