Dara Adib
Principal Engineer at Applemon Technologies
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolDara Adib is a Principal Engineer in New York with 14 years of experience building full-stack systems that integrate embedded hardware, wireless IoT, sensor networks, and GIS for environmental and construction use cases. He leads in-house design of devices and software at Applemon Technologies, combining field engineering, data pipelines, and spatial analytics to deliver production-grade monitoring solutions. His background spans high-scale distributed systems at Uber, urban simulation and geospatial data engineering for UrbanSim, and automation tooling across cloud infrastructure. He contributes to open-source projects—improving simulation frameworks and strengthening test suites for scientific Python tooling—highlighting a practical focus on reliability and reproducibility. Comfortable bridging policy and tech, he has advised government teams on privacy, data security, and investigative tooling. Colleagues rely on him for turning messy real-world sensor and spatial data into auditable, maintainable systems.
14 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree Civil and Environmental Engineering, Bachelor’s Degree Civil and Environmental Engineering at University of California, Berkeley
English, Persian, French
Stackoverflow
46reputation
2kreached
1answer
0questions
Github Skills (10)
unit-testing10
pandas10
pytest10
python10
dependency-injection10
test-automation10
sympy9
documentation9
api-design7
puppet6
Programming languages (16)
Github contributions (5)
UDST/urbansim
Sep 2014 - Dec 2014
Platform for building statistical models of cities and regions
Role in this project:
Back-end Developer
Back-end DeveloperContributions:33 commits in 2 months
Contributions summary:Dara primarily contributed to the simulation framework, focusing on dependency injection, variable expressions, and argument matching. They implemented features for registered variables, including tables, columns, and injectables. They also added and revised documentation to explain and illustrate the use of these features within the framework. The changes indicate a focus on enhancing the simulation's flexibility and usability for users.
statistical-models
connorferster/handcalcs
Dec 2021 - Dec 2021
Python library for converting Python calculations into rendered latex.
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:7 commits, 3 PRs, 2 comments in 26 days
Contributions summary:Dara primarily contributed to enhancing the test suite for the `handcalcs` library. Their work involved adding new tests to cover specific functionalities, including unit tests for exporter attribute, and extending the test coverage for pint and sympy integrations. These additions help ensure the library's accuracy and robustness, especially when dealing with units and symbolic math expressions.
latexpython
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