Clarence Elliott

Clarence Elliott

Software Engineer and Technical Consultant with 10+ years experience.

Currently co-founding Project Plus, an AI-native real estate platform that helps agents automate property analysis, and consulting on backend and data infrastructure. Previously at Google, AllCampus, TekSystems, and JP Morgan Chase.

Work with me See my background
Clarence Elliott
10+
Years building software
5
Companies, startup to Google
20+
Customer discovery interviews
2
Google Cloud certifications

I’m a software engineer whose biggest strength is finding common ground between my technical and non-technical teammates. I excel at dissecting complex projects and making sure the right needs are being addressed.

Consulting

Put AI to work — properly.

Most “AI strategy” ends in a slide deck. I build the thing. Ten years engineering at Google and in fintech, currently co-founding an AI-native product. I take on a few projects at a time — scoping the problem properly, then shipping it.

Book a 30-minute call

Services

  • AI & computer-vision features
  • Custom web apps & internal tools
  • Automating the manual work eating your week
  • Making the tools you already pay for work together
  • Scoping what to build — and what not to
  • Team training & workshops

Work History

Where I’ve built things.

  1. 2025 — Present

    Project Plus Co-Founder & CTO

    An AI-native real estate platform that helps experienced agents automate property analysis and reclaim their time.

    • Lead all technical architecture, AI system design, and product engineering across the founding team.
    • Built the platform’s flagship capability — a computer-vision workflow that reads listing images to identify property features and generate an automated quality rating, turning a subjective manual assessment into an instant score.
    • Translate insights from 20+ discovery interviews with practicing agents directly into product requirements and shipped features.
    • Own cloud architecture, data modeling, and automation pipelines end to end.
    • Next.js
    • Supabase
    • Vercel
    • n8n
    • LLMs
    • Computer Vision
  2. 2020 — 2025 Remote

    Google Software Engineer

    • Led backend development of the AI feedback rating-and-storage service powering Google’s internal Ads customer-support CRM — the system Ads support staff rely on to serve advertisers.
    • Served as de facto product owner, translating the needs of internal support staff into technical requirements and roadmap decisions.
    • Built internal access and identity tooling for the Ads organization, using FlumeJava pipelines to analyze logs and report on data-access provisioning.
    • Authored microservice architecture and release-plan practices adopted by three sibling teams.
    • Mentored six engineers on CI/CD pipeline architecture, cutting average service development time by a full quarter.
    • Java
    • FlumeJava
    • Microservices
    • CI/CD
  3. 2018 — 2020 Chicago, IL

    AllCampus Backend Developer

    Higher-education marketing and enrollment-services provider.

    • Built greenfield features on a custom CRM, improving internal efficiency by optimizing external API usage and automating report generation.
    • Built a tool that parsed institutional performance data and auto-generated tailored market-research decks, streamlining Sales-team workflows.
    • Developed and managed asynchronous task queues with Celery and RabbitMQ.
    • Python
    • Celery
    • RabbitMQ
    • AWS
Show 2 earlier roles 2015 — 2018
  1. 2017 — 2018 Chicago, IL

    TekSystems Java | Python Engineer

    Supported financial-services clients, modernizing risk-reporting processes to keep Bank of America compliant with federal mandates.

    • Implemented a Python data-sourcing library that centralized application access to uploaded spreadsheets and data from Teradata, DB2, and Oracle.
    • Migrated seven critical spreadsheets onto the library with minimal user impact.
    • Built a payment website in Angular and TypeScript with the RESTful services behind it.
    • Python
    • Java
    • Angular
    • Teradata
    • Oracle
  2. 2015 — 2017 Chicago, IL

    JP Morgan Chase Technology Analyst — Software Developer

    Global Customer Information Service team.

    • Reengineered legacy COBOL services into Java microservices delivering PII/SPII data to internal applications across the bank.
    • Validated new services against legacy logic to ensure logical equivalence and correct database interaction.
    • Configured Nagios network monitoring for 100+ production web services.
    • Java
    • COBOL
    • SoapUI
    • Nagios

Education

  • B.S., Computer Science University of Illinois Urbana-Champaign

Certifications

  • Google Cloud — Professional Cloud Architect In progress
  • Google Cloud — Cloud Digital Leader