Jacob Braswell

Seekr — Senior AI Solutions Engineer

January 2026 – Present

Security Clearance: Secret (Active)

• • Lead AI/ML Platform Architect across federal defense and intelligence initiatives; own end-to-end productionalization and lifecycle management for sovereign, air-gapped, FIPS-compliant Next.js, FastAPI, PyTorch, and OpenSearch platforms on Kubernetes
• • Engineered a Sovereign AI Redaction & FOIA Platform (SQLModel, pydantic-ai, K8s/Helm) uniting Named Entity Recognition and fine-tuned LLM extraction with an OpenSearch semantic consistency layer to guarantee zero-variance redaction across massive document sets
• • Architected a Mechanistic Interpretability & Fine-Tuning Platform (PyTorch/FastAPI) for LLM steering-prefix training, activation collection via forward hooks, and jailbreak detection — with GPU autoscaling across NVIDIA CUDA and AMD ROCm and quantization fallbacks to prevent OOM failures during large model loads
• • Built an Agentic Maritime Intelligence Platform fusing real-time acoustic/sonar sensor feeds with a geospatial knowledge graph, training vessel-classification models, Bayesian path-prediction algorithms, and an agentic feedback loop with LLM-driven explainability panels for analyst corrections

Booz Allen Hamilton — MLOps Engineer

April 2023 – December 2025

Security Clearance: Secret (Active)

• • Implemented an IaC-managed, multi-cluster MLOps platform on AWS GovCloud (ROOF AI project) using KServe for scalable inference and Karpenter for resource optimization — cut costs by 20% and reduced time-to-production for large-scale model deployment
• • Built and maintained a pipeline for STIG-hardened containers used in model deployment and data pipelining
• • Spearheaded GitOps pipelines optimizing end-to-end container image testing, building, and releasing
• • Architected and maintained IaC for an EKS-hosted Jenkins CI/CD instance, using GitHub Actions to manage and deploy the IaC state
• • Mentored the aiSSEMBLE squad in DevOps and MLOps best practices critical to production deployment of AI systems

Collibra Inc — MLOps Engineer

December 2021 – April 2023

• • Built and maintained CI/CD pipelines via Jenkins to run Terraform code standing up multi-node clusters handling hundreds of machine learning models
• • Implemented a Kubeflow environment via Helm and deployed multiple end-to-end ML use cases; integrated Airflow for ETL and model training data pipelines
• • Developed and maintained an asset recommender model deployment pipeline using OpenSearch, FastAPI, and FAISS
• • Maintained a FedRAMP EKS environment, updating container images for CVE compliance and keeping cluster nodes rotated and current
• • Mentored sales teams on ML platform capabilities and onboarded/coached 2 junior engineers over the course of a year

SAS Institute — Solutions Architect

July 2019 – December 2021

• • Built standalone MLOps training environments on Azure for hundreds of customers and internal employees; used Terraform to deploy GCP/AWS microservice applications at scale on Kubernetes
• • Deployed cloud governance automation with Cloud Custodian across internal AWS, Azure, and GCP accounts; used Prometheus, Grafana, and Thanos to monitor Kubernetes workloads
• • Integrated ML models via APIs into CI/CD processes for training, deploying, and retraining
• • Mentored MLOps efforts across the LATAM/North America regions and guided yearly intern cohorts through onboarding and project delivery