Evan Mildenberger

Rising Codementor

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ABOUT ME

Enthusiastic Full Stack Software Engineer

I'm currently working in the financial sector using Rust and Terraform, but most of my experience is in full-stack Web development using technologies like Django, Vue and Docker to create single-page and server-side-rendered applications. I've also worked on projects for data science and machine learning, building neural networks from scratch to do things like predict people's movements based on video footage. I'm currently expanding my education to focus on higher-performance computing and embedded environments using the great programming language Rust!

I like projects where I'm accountable for making an impact and can contribute to big-picture decisions. I'm a nerd for math and all obscure tech and science stuff. All my life I've been interested in understanding the universe and the people in it as well as optimizing both human-to-human and human-to-machine communication.

My future endeavours include combining my experience in computer science with my experience in linguistics and intrapersonal communications to create novel solutions for persistent problems. I'm open to opportunities for partnership in entrepreneurship as I prefer agile and creative environments over enterprise ones.

Spanish, English

Pacific Time (US & Canada) (-08:00)

Joined August 2019

EXPERTISE

6 years experience

3 years experience

4 years experience

3 years experience

1 year experience

5 years experience

3 years experience

REVIEWS FROM CLIENTS

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SOCIAL PRESENCE

GitHub

tango_trajectory

A completed data science project for a research team. The goal was to forecast the future positions of a tango dancer given the past positions of the other dancer.

HTML

neural_network

This is a neural network built from scratch using only Numpy.

Python

EMPLOYMENTS

Tech lead

Indyhost.net

2025-01-01-Present

- Managed technical team, designed architecture, and developed retail POS system used in the United States as the main product of a pr...

- Managed technical team, designed architecture, and developed retail POS system used in the United States as the main product of a profitable scale-up company

Bash

PostgreSQL

CouchDB

Bash

PostgreSQL

CouchDB

React

JavaScript

Rust

Terraform

Principle developer

DCP Global

2023-02-01-2024-11-01

- Planned, designed, implemented and deploy a Python project for a recruitment platform with over 3,000 users - Reduced business costs...

- Planned, designed, implemented and deploy a Python project for a recruitment platform with over 3,000 users - Reduced business costs for infrastructure by 2500% monthly by migrating compute and database to cheaper alternative

Django

PostgreSQL

Docker

Django

PostgreSQL

Docker

Vue.js

Senior developer

CIE

2022-06-01-2024-09-01

Designing and implementing Python code for an e-learning platform with over 10,000 users

Django

Celery

Docker

Django

Celery

Docker

Vue.js

PROJECTS

Neural Network from ScratchView Project

2020

This was a proof of concept for using a machine learning neural network to classify the MNIST dataset of handwritten digits. This impleme...

This was a proof of concept for using a machine learning neural network to classify the MNIST dataset of handwritten digits. This implementation doesn't rely on high level libraries such as TensorFlow, PyTorch, Keras, etc but uses only Numpy for optimized numeric matrix and vector operations. It implements vanilla backpropagation using first principles of matrix calculus with just enough parameterization to specify the architecture for the width and depth of the dense feedfoward layers. It does not utilize convolutional layers, although that would improve performance.

Python

NumPy

Python

NumPy

Tango Trajectory -- Dancer Movement Forecasting using a LSTM Neural NetworkView Project

2020

This was a contribution to a research paper about the use of LSTM neural networks to forecast future movements of dancers (Tango for this...

This was a contribution to a research paper about the use of LSTM neural networks to forecast future movements of dancers (Tango for this case) using video footage of their past movements taken from above. The video data had to be processed to extract the 2D position time-series data for the two participants. Then this data had organized into training and testing partitions that respected the time-series nature but would also allow sufficient cross validation and training-time validation. Common techniques for finding hyperparaters were used via the mentioned libraries, and the results of various results and the description of the problem were recorded in a Jupyter notebook.

Python

NumPy

Pandas

Python

NumPy

Pandas

Jupyter

Keras

Scikit-learn