Federal R&D engineering · Named PI · SAM.gov Active
Federal R&D software solutions, built with precision.
Research-grade engineering for federal programs. Precision Federal builds top of the line full-stack software solutions for U.S. federal agencies — AI, data, web apps, APIs, cloud, and security.
Capabilities
What Precision Federal builds.
63 capability references across six technical pillars. Each page is written by the engineer delivering the work.
Machine Learning
Classification, regression, ensembles, feature engineering — the discipline behind the founder's production ML work at a federal health agency.
Agentic AI & LLM Systems
Multi-agent orchestration, tool-calling, autonomous decision systems — engineered for ATO-bound federal deployment.
Generative AI
LLM app development, prompt engineering, fine-tuning, and fed-compliant deployment patterns across GovCloud and air-gapped boundaries.
Data Engineering
Pipelines, ingestion, orchestration, and governance for federal mission data — lakehouse-native at production scale.
Data Analytics
Analytic platforms and decision-support systems for federal leadership — dashboards engineered for the audit and the action.
Data Governance
Catalogs, column-level lineage, CUI classification, Privacy Act, and NIST 800-53 mapping for ATO-ready data platforms.
Cloud Infrastructure
Multi-cloud federal architectures across AWS, Azure, and GCP — FedRAMP-aligned, IL4/IL5-aware, built by an engineer with 7 cloud certifications.
AWS GovCloud
AWS GovCloud (US) engineering with IL4 / IL5 workloads, Bedrock, and SageMaker — landing zones and 800-53 control inheritance patterns.
Azure Government
Azure Government, Azure OpenAI FedRAMP High, and IL5 / IL6 boundary engineering with integrated Sentinel and Defender.
Cybersecurity & DevSecOps
NIST 800-53 implementation, STIG hardening, and ATO acceleration — the compliance spine that lets federal AI and data systems reach authorization.
Zero Trust Architecture
NIST 800-207 Zero Trust and DoD Zero Trust reference architecture — engineered into identity, network, and workload boundaries.
ATO Engineering
NIST RMF, 800-53 control implementation, SSP authoring, POA&M management, and continuous ATO — authorization-aware from day one.
Full-Stack Development
React, Next.js, FastAPI, PostgreSQL, Docker, and Kubernetes — across-the-stack delivery with USWDS and Section 508 baked in.
API Design
REST, GraphQL, gRPC, USDS API standards, OpenAPI 3.1, api.gov publication, and Kong / Apigee gateway engineering.
Frontend Development
React, Next.js, Vue, Svelte, TypeScript — USWDS components and Section 508 / WCAG 2.2 AA accessibility built in from day one.
Classified AI
Air-gapped LLMs, SCIF engineering, ITAR/EAR-compliant training, MLS, and TS/SCI ATO support — AI delivery into classified federal environments.
GIS / Geospatial
GIS, remote sensing, geospatial ML, and Esri ArcGIS for federal — satellite, drone, and terrain analysis pipelines for defense and civilian missions.
Digital Twin
Digital twin for federal assets, simulation, and predictive maintenance — physics-grounded models for fleet, facility, and mission-system operation.
Publicly thinking
Recent analysis.
AI-assisted modernization of legacy federal software systems
Public-literature reading of AI-assisted modernization — reverse engineering, dependency analysis, test reconstruction, and the engineering discipline that scales.
Air Force Software Innovation Trends in 2026
The software innovation patterns and recurring problem types shaping the Department of the Air Force in 2026.
ATO acceleration playbook for federal AI systems
A practical 2026 playbook to cut AI-system ATO time from 12 months to 3-6 — control inheritance, evidence pipelines, and the engineering decisions made on day one that determine the authorization timeline.
Edge AI for deployed military systems
SWaP-C constraints, communication-denied environments, model compression, fielding requirements, and the SBIR topics funding edge AI in 2026.
Classified AI — what changes above Secret
Federal AI at TS, SCI, and SAP levels — SCIF requirements, air-gapped infrastructure, ITAR constraints, cleared personnel, and how small firms engage in the classified space.
Counter-UAS multimodal detection: public methods
RF, EO/IR, radar, and acoustic modalities for counter-UAS — what the public-literature consensus looks like and where the engineering trade-offs land.
AI for additive manufacturing in Army sustainment
Process monitoring, defect detection, qualification, and the lab-to-field gap — what the public AM-AI literature has settled and what remains open.
GNSS resilience and backup PNT in low earth orbit
Public-methods survey of backup PNT for LEO assets — celestial nav, X-ray pulsar nav, signals of opportunity, and inertial fusion trade-offs.
Cognitive workload instrumentation for tactical operators
Physiological sensing, model architectures, and the engineering discipline behind operator-state estimation that survives field conditions.
ML for chemical and biological threat detection
Sensor modalities, signal-processing pre-stages, public datasets, and the engineering choices that show up in agency-funded prototypes.
// 003 · agency portfolio
Built for the agencies we target. Across every category of federal SBIR.
Four federal-SBIR categories on Precision Federal’s 2026 board. The same operator that scores the topic also writes the proposal and signs the deliverable.
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Federal programs, teaming opportunities, TPOC questions, contracting inquiries — every inbound is answered within one business day.