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Matthew Voss

Cloud Architect, Fullstack Engineer

Dallas, Texas

matthewpvoss@gmail.com


Skills

Java

Expert

Python

Expert

React

Proficient

Cloud

Kubernetes/Helm

Expert

AWS

Expert

Azure

Proficient

GCP

Proficient

Terraform

Proficient

Certifications

Certified Kubernetes Application Developer

Complete

AWS Architect Associate

Complete

AWS Developer Associate

Complete


Work Experience

Cloud Microservices Consultant - Accenture
March 2022 - Current
  • Modernized business critical applications into EKS microservice architecture responsible for millions of API calls per day and millions of dollars worth of business
  • Prototyped sidecar proxy to facilitate ongoing migrations in zero trust environment with upstream and downstream clients spread across on-prem and cloud deployments
  • Upskilled hundreds of clients/teammates via classes on Kubernetes, Devops, Helm, AWS
  • Scripted configuration audits to spot overprovisioned apps and save client 9k per month

Software Team Lead & Cloud Architect - Lonestar Analysis
Aug 2010 - Feb 2022
  • Headed discovery working sessions of all stakeholders for new SAAS product, authored requirements document, presented design to stakeholders, and integrated feedback
  • Led implementation team of 5 following agile software practices and served as primary integration contact for 3 multimillion dollar customer teams migrating to new platform
  • Increased planning efficiency by 80%, streamlined maintenance logistics of 300+ aircraft
  • Platform summary: Django/React webapp with serverless analytics engine and PowerBI dashboards for user-friendly, cost-efficient scalable system with low maintenance needs

Senior Software Engineer - Lonestar Analysis
Oct 2018 - Aug 2020
  • Designed scalable Kubernetes architecture flexible to client sensor and analytics needs
  • Aligned diverse team on tight timeline to deliver real time asset monitoring under budget
  • Translated technical design decisions into cost and capability impact for executive briefs

Full Stack Developer - Lonestar Analysis
Oct 2016 - Oct 2018
  • Tool-enabled creation of custom dashboards, saving 2-4 man-months per project
  • Automated 3 hour manual build/release process by adding CICD build pipeline
  • Increased MQTT throughput 20 fold by implementing multi-threaded batch processing

Software Engineer - L-3 Communications, Mission Integration Division
Jun 2015 - Oct 2016
  • Designed, developed, tested, maintained, and supported 700 hour Java contract effort for training simulation software used with airborne ISR platforms
  • Recognized with achievement awards for analyzing and resolving over 400 security vulnerabilities on open source software packages used by company
  • Recognized for compiling team training knowledge base on intranet wiki, allowing me to train 3 new engineers while simultaneously managing normal workload
  • Volunteered afternoons to represent L-3 at recruiting dinners, helping prepare and connect candidates with hiring managers that best fit their skillsets and interests

Projects

Non-Profit CRM & Analytics Platform
  • Designed, implemented, and deployed a CRM specific to the needs of a Houston non-profit including custom Redash dashboards, modern React frontend, and Flask backend
  • Used highly cost-effective design which can scale as needed: static frontend files in S3 site with CloudFront, backend API in ECS with ALB to scale horizontally, Redis for caching
  • Deployed all infrastructure via Terraform, Gitlab pipelines for CICD
  • Leveraginged Slack API for alerting and Cloudwatch for monitoring

Stock Market AI
  • Implemented genetic algorithm for training stock-choosing AI in Python
  • Utilized Yahoo Stock API through PandasDataReader package and cached stock price data in Postgres database for faster training
  • Scripted analysis in D3 and R to visualize training progress and interpret AI evolution
  • Click here for detailed write-up

Information Retrieval Matchmaking
  • Designed and implemented a user-compatibility engine in Java using an inverted index for instantaneous search
  • Deployed app to Heroku and integrated with mobile app platform

Chess AI
  • Researched chess programming documentation and wrote an AI that chooses moves using tactical and positional heuristics
  • Implemented alpha-beta pruning move search algorithm with iterative deepening
  • Click here for detailed write-up

Fractals
  • Implemented graphical fractal explorer for the Mandelbrot fractal
  • Utilized CUDA for GPU accelerated computing, and OpenCV for connecting the explored fractal in an exported video
  • Click here for detailed write-up

Education

University of Arkansas, Fayetteville AR
2011 - 2015

B.S. Computer Science

GPA 3.89