Data Visualizations
Data Visualizations
Architecture
Architecture
Artificial Intelligence
Artificial Intelligence
Fullstack Engineering
Fullstack Engineering
Frontend Engineering
Frontend Engineering
Technical Documentation
Technical Documentation

Tech Stack

FigmaFigma
Launch DarklyLaunch Darkly
ReactReact
PythonPython
KubernetesKubernetes
JestJest
JavascriptJavascript
DockerDocker
DjangoDjango
CSS3CSS3
ConfluenceConfluence
JiraJira
StorybookStorybook
PostmanPostman

In my capacity as a Senior Frontend Engineer at Optimal Dynamics, I worked closely on enhancing our core product, Execute. Created with React.js, Execute serves as the central tool for our clients. My responsibilities centered on refining its scalability, improving its user interface, and optimizing its overall performance.

Functioning as a key architect on the frontend, I guided essential decisions to guarantee the smooth handling of data traffic, enabling our clients to access real-time insights effortlessly. I also contributed heavily to our internal component library during this process, with the relevant documentation and abstraction, so they could be easily re-used across all products. Beyond frontend work, I also undertook various backend tasks to strengthen my fullstack proficiency, predominantly in a Python-based backend environment.

One significant achievement involved refining code clarity and boosting data download speeds. This included a thorough revamp of the frontend's state management systems. By leveraging react-hooks, I developed context providers tailored to handle distinct states across different feature sets. This enhancement effectively addressed technical issues like prop-drilling and convoluted code. I also built and introduced several new features to the codebase, primarily new components, filtering options and enhancing functionality within Execute's data-tables, dashboards, and data visualizations.

I have been actively involved in transforming the frontend state management systems to better distribute load and handle state in lower order components, thereby improving the overall efficiency, leading to a 45% boost in build performance. Additionally led piecemeal refactors and implemented tests to improve code readability by 3X in 2 months.

I worked on the following two core feature-sets, which are mentioned below:

LoadAcceptance:

This feature simulates your network to provide a load score for each available load, helping you identify the most valuable loads to assign to your fleet. By accepting these loads accordingly, you can optimize your operations and route less valuable loads to your brokerage.

Dispatching:

In this feature, you can choose the best drivers for a load or the best loads for a driver, using the downstream feasibility and profitability values estimated by the platform. The process is simple: review and assign, and you're done.

Featured Projects

Browse selected works by Felix Dasgupta.