Atem

Year
2024
Type
SaaS
Sector
Carbon Credits
Model
B2B
SDGs
Partnerships for the goals
Atem

Atem's Carbon Cockpit simplifies carbon offsetting with free, easy-to-understand data and project scores.

It’s hard to get offsetting right. Enterprises that spend millions on carbon credits solve this through consultants or in-house experts. Atem’s Carbon Cockpit democratizes offsetting by making crucial data easy to understand and accessible for free.

Atem's Carbon Cockpit provides guidance in the form of three scores for over 6,000 carbon credit projects. To ensure a future on a thriving planet, we believe in the power of systems to scale up positive externalities such as reducing emissions, removing carbon, and restoring natural ecosystems.

Vision

In progress

Tech stack

Golang, SQL, Docker, PostgreSQL, CI/CD, Tailwind CSS, JavaScript, React.js, MongoDB, Bash

Contributions

Jan 2023 - Aug 2024

Our daily routine involved recurrent deployments to different environments, including containers, front end, and infrastructure (via CDK).

  • Managed 4 microservices and related DBs (Postgres and MongoDB);
  • Managed and improved Github CI/CD workflows;
  • Integrated public and internal REST (OpenAPI standard) and GraphQL APIs in Golang;
  • Integrated supplies and prices from different blockchains (Polygon and Celo);
  • Created client to interact with smart contracts setup on OpenZeppelin;
  • Improved the AWS infrastructure slashing the costs by 30%;
  • Automated TLS certificate renewal;
  • Collaborated with a designer to implement the new product design and features using Next, React (context and hooks), and Tailwind;
  • Deployed to different Vercel projects;
  • Created an Atem terminal client to help developers interact with authentication, builds, tests, and infrastructure changes using Golang and Bash (with IAM identity center integration);
  • Implemented WebSocket gateway on AWS;
  • Replaced Bazel with native Go build/tests and Docker Compose;
  • Optimized processes in a concurrent environment;
  • Worked on Jupyter notebooks in Python to aggregate and analyze data.
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