Hi, I'm @drewhyatt,
Staff Software Engineer & Fractional CTO
I design and ship production systems that scale reliably — payments, data platforms, cloud architecture, and applied AI where it meaningfully improves workflows.
with Systems design · Application engineering
Engineer. Veteran. Builder. What I do doesn't fit one title. BuildingBuilding systemssystems thatthat lastlast.
I ship reliable systems that handle money, data, and production load — with disciplined automation as a force multiplier.
Bigger teams. Harder problems.
Full-stack + systems + cloud.
Ready to ship.
Work Experience
End-to-end ownership from architecture → delivery → production → scale, with disciplined engineering workflows that improve delivery speed without sacrificing reliability.
Omniga.ai
Co-Founder & Fractional CTO
2025 – Present
Co-Founder & Fractional CTO. Architecting the AI orchestration layer above the ledger: ingestion pipelines, matching engine, review queues, confidence scoring, and audit artifact generation—enabling bookkeeping teams to close faster without sacrificing accuracy. Leading technical strategy, cloud infrastructure (AWS/GCP), CI/CD, and code quality. Directed SOC 2 Type 2 readiness end-to-end.
Senior Software Engineer
May 2021 – Sep 2024 · Fintech / Real Estate
- •Led a team of 3–5 engineers; mentored junior and mid-level engineers on payments architecture, testing standards, and microservices patterns
- •Owned payments and invoicing microservices using AWS, PHP, Python, TypeScript, and Terraform
- •Led design of a payments search engine; architected DynamoDB-backed system for high-volume transactions
- •Main contributor to tenant migration from legacy monolith to distributed services
- •Partnered with Plaid, Moov, and Melio to deliver seamless financial solutions, increasing total payment volume
- •Drove architecture standards and peer review culture across the engineering org
Payment integrations
DynamoDB Search Engine
Designed and delivered a transaction search platform spanning DynamoDB, OpenSearch, and Snowflake data pipelines.
- DynamoDB single-table design optimized around transaction query access patterns
- Built an internal TypeScript DynamoDB client to standardize data access and query composition
- Implemented AWS data streaming into Snowflake using infrastructure-as-code, S3, and SQS
- Implemented AWS OpenSearch and a TypeScript ingestion client for searchable transaction indexing
- Built a React Single-SPA experience for transaction search and review workflows
Lead Full Stack Engineer
Sep 2024 – Jun 2025 · Medical Supply Chain
Full-stack development of a medical supply-chain platform using GCP, TypeScript, Airflow, DBT, BigQuery, Postgres, and Python. Architected scalable microservices and data pipelines emphasizing fault tolerance and real-time analytics. Led LLM integration scoping and implementation for supply chain disruption identification and optimization.
"Drew brought immediate senior ownership — architecture decisions, LLM scoping, and data pipeline design all hit production-grade quality from day one."
Cicayda eDiscovery
Lead Developer
May 2017 – Dec 2021 · Legal-Tech
Designed and implemented a social media eDiscovery platform for multidistrict litigation. Modernized cloud infrastructure and reduced AWS compute spend by 30%. Led the engineering transition and security coordination during the company's acquisition. Partnered with legal stakeholders to enhance legal-hold and notification workflows.
30% AWS Cost Reduction
Rightsized EC2 fleets, migrated to Spot Instances for batch workloads, and implemented CloudWatch-driven auto-scaling — cutting monthly AWS compute spend by 30% without degrading SLA.
"Drew led the engineering org through our acquisition with composure and precision — keeping velocity high while coordinating security reviews across two companies."
Projects
DrewHyattEngineering Workflow
Pragmatic engineering workflow with automation assistance to accelerate delivery while preserving quality, reliability, and compliance.
System boundaries, data contracts, failure-mode analysis, and implementation plans
Incremental implementation, code review discipline, and CI/CD-ready changes
Runbooks, incident response readiness, and release-risk reduction
Targeted AI acceleration, instrumentation, and evaluation loops in production
Omniga.ai — Finance Platform
Co-Founder & Fractional CTO. Architecting systems above the ledger: ingestion pipelines, matching engine, review queues, confidence scoring, and audit artifact generation—enabling bookkeeping teams to close faster without sacrificing accuracy.
Conduit Health — MRF Platform
Price transparency ETL platform ingesting CMS machine-readable files: Hospital Price Transparency + Transparency in Coverage. Multi-path architecture: Laravel monolith ETL, NestJS orchestrator (BullMQ, Prisma, Parquet/GCS/BigQuery), PySpark batch pipeline.
RAME Contracting — Systems Consulting
Systems consulting and implementation for RAME Contracting LLC — a residential construction, drilling & blasting, and site development company. Delivering workflow automation, operational tooling, and full-stack platform infrastructure to modernize field operations.
DIG Assistant — Knowledge Chat POC
Built for Data Intelligence Group as a proof-of-concept from my own template: RAG-based assistant architecture, vector + relational data modeling, full-stack frontend/backend implementation, and product UI design.
DH7 Intel Operations Dashboard
Multi-source intelligence operations dashboard aggregating world, cyber, CSP, market, disaster, and vulnerability signals with contextual chat workflows, analyst artifacts, and resilient provider-health telemetry.
eDiscovery Processing Platform
POC eDiscovery platform for EDRM Processing and Production: multi-format document intake, automated enrichment and triage, matter-scoped review console, AI matter assistant, and a defensible chain of custody.
Planned Interactive Case Studies
In progress: production-style demos tied directly to domain experience claims.
IoT Telemetry Stream Lab
Interactive MQTT stream pipeline using public telemetry sources: ingest, normalize, and visualize real-time device signals with alerting and historical replay.
AWS + Datadog Observability Modernization
Interactive observability case study showing full-stack tracing and telemetry correlation across AWS Lambda and ECS services, with PHP and TypeScript workloads instrumented for incident response and performance tuning.
Systems Engineering Approach
Platform Delivery · End-to-End OwnershipI run a systems-first engineering process centered on architecture, DevOps, reliability, and measurable business outcomes. AI tooling is used selectively as an implementation layer within that broader stack.
- ›Systems design first: service boundaries, data contracts, failure modes, and operational runbooks before implementation
- ›DevOps ownership across CI/CD, cloud infrastructure, release hygiene, observability, and incident response
- ›Built and deployed production automation systems: supply chain at Peer Supply, finance operations at Omniga.ai
- ›Quality loops: instrumentation, SLO-driven monitoring, test automation, and feedback into architecture decisions
- ›AI as a targeted layer for acceleration in specific workflows, not a substitute for engineering rigor
- ›Full-spectrum delivery: Figma -> design systems -> React -> backend -> cloud infrastructure, solo or in teams
Design System, Typography, and UI Discipline
I treat interface design as part of systems engineering. My default approach blends Swiss rationalist principles with product pragmatism: clear hierarchy, typographic rhythm, purposeful spacing, and interfaces that keep operators focused under load.
Visual examples in practice
Typography hierarchy
Clear structure supports faster decisions
Display, body, and metadata styles are intentionally separated to keep reading paths predictable.
Grid + rhythm
24px cadence for layout consistency
Spacing and alignment follow a repeatable system so screens stay coherent as complexity grows.
Component states
Interaction priority is communicated through contrast, weight, and state treatment, not decoration.
Core design principles
- Swiss rationalist structure: Grid-first composition, strong alignment, and visual order so complex information is easy to scan.
- Typography as system: Consistent scale, readable measure, and contrast discipline to reduce cognitive friction across flows.
- Function over decoration: Every component earns its space through clarity, feedback, and task completion speed.
How I join art + technology
- Design tokens: Convert visual decisions into reusable tokens (spacing, type scale, color roles) for predictable implementation.
- System components: Build composable UI primitives that preserve consistency while allowing product-specific iteration.
- Operator-focused UX: Prioritize information hierarchy, progressive disclosure, and interaction feedback for production workflows.
How Performance Changes at Scale
As more people use a product, some approaches stay fast while others slow down quickly. This view shows which paths stay efficient and which become costly over time.
What happens as data gets bigger
Each line represents a different way to handle growth. Flatter lines stay manageable. Steeper lines become expensive fast.
Quick read: green and yellow stay low, blue rises steadily, purple rises faster, and red spikes sharply as volume grows.
How I design for growth
- Keep customer-facing paths light: The actions users do most should stay quick and predictable, even when traffic increases.
- Pay once, reuse often: Caching and precomputed results can reduce repeat work and keep response times low.
- Move heavy work behind the scenes: Long-running tasks should run in background jobs so the user experience stays responsive.
What this means for product outcomes
- Faster customer workflows: Common actions like search, checkout, and reporting stay fast as usage grows.
- Lower operating cost: Efficient systems need fewer resources, which helps control infrastructure spend.
- Smoother growth: Traffic spikes are handled more gracefully, reducing outages and support pressure.
Writing
Education
Bachelor of Fine Arts
Roy Frank Finger Award Scholarship — Excellence in Visual Arts.
Military Service
Combat Medical Sergeant
Combat Medical Badge, Army Commendation Medal. Supervised medical operations on 100+ combat patrols (Operation Iraqi Freedom III). Trained personnel in trauma medicine.