With over 6 years of experience in distributed systems, I design and scale high-performance architectures — focusing on vectorized data processing, real-time systems, and applied AI.

Most recently, I re-architected a legacy monolith into a distributed Polars & Dagster pipeline — processing 40M+ daily records and reducing ETL runtime by 97% (5.5h → 16m).

I recently architected a company-wide MCP server enabling plain-English search across product data — achieving 45% prompt-to-pageview conversion in its first week, greenlit for public release.

Previously, I engineered Zoom for Government infrastructure (FedRAMP/IL4) to support federal agencies.

Before that, I developed low-latency voice processing systems and DSP encryption in C++ at Motorola for mission-critical 911 dispatch communications.

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Matt Hallowell

Slickdeals LLC San Mateo, CA

Senior Software Engineer II March 2026 - Present
  • Led a cross-functional team of 5, mentoring 2 junior engineers through technical design reviews and end-to-end feature ownership.
  • Architected a company-wide MCP server enabling natural language querying of deal and product data; drove 45% prompt-to-pageview conversion in week one, greenlit for external release.
  • Building a Nuxt-based internal developer platform spanning Engineering, Data, Product, Sales, and Operations as a unified hub for tooling across a 48-person org.
Senior Software Engineer August 2024 - March 2026
  • Led migration from a PHP monolith to a distributed processing platform using Python and Dagster, executing zero-downtime cutover via EKS traffic-mirroring to validate 40M+ daily records.
  • Scaled data ingestion platform to 26 merchants across Amazon, Walmart, Best Buy, eBay, and others — with eBay onboarding currently in progress.
  • Optimized parallelized execution using Polars and EKS fan-out jobs, cutting runtime by 97% (5.5h → 16m) and infrastructure costs by 40%.
  • Modernized the developer platform with a uv-based Python monorepo and ArgoCD pipelines, reducing deployment time 80% (10m → 2m).

Zoom Video Communications Seattle, WA

Software Engineer – Systems & Infrastructure May 2022 – August 2024
  • Engineered distributed backend systems for Zoom for Government serving millions of concurrent users, enabling IL4/FedRAMP authorization and securing $10M+ in federal contract wins.
  • Built a Go service automating targeted ECR vulnerability scanning across 30+ repositories, reducing scan time by 94% (3hrs → 10min) via precise per-SHA triggers on image sync.
  • Owned on-call incident response for distributed government infrastructure, resolving service failures, Nginx misconfigurations, and SQL incidents on FedRAMP-authorized systems.

Motorola Solutions Chicago, IL

Software Engineer II November 2019 – May 2022
Software Engineer I July 2018 – November 2019
  • Developed and extended C++ audio processing software for a 24/7 live 911 dispatch platform — spanning SIP/FreeSWITCH signaling, multicast packet handling, DSP modules, and containerized audio pipelines across cell phones, field radios, and encrypted tactical channels.
  • Built a Node.js REST API for real-time dispatch connection management, eliminating cascading pod redirects via a shared hash-based routing scheme — cutting call establishment latency by 87% (2.3s → 0.3s).
  • Migrated dispatch messaging from Kafka to Redis Pub/Sub, using idempotent multi-publish to prioritize speed without sacrificing delivery reliability.

Education

DePaul University Chicago, IL

B.S. Computer Science June 2018

Technical Skills

Languages: Python, Go, JavaScript, C++, Java
AI / Data: RAG/LLM Engineering, MCP, Dagster, Polars, Kafka, Redis, Prometheus, Postgres, MySQL
Distributed Systems & Cloud: AWS (EKS, S3, RDS, ElastiCache, MSK, IAM, Route 53), Kubernetes, Terraform
Platform & Tooling: GitHub Actions, GitLab CI, Docker, Helm, ArgoCD, env0

Awards & Interests

Eagle Scout, Boy Scouts of America (May 2013)
Backpacking, Guitar, Hiking, Cycling, Cross Country Skiing, Formula 1, Car Enthusiast

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