jackmead515@gmail.com
About
I am a machine learning and data engineer with a passion for my work. Growing up in Iowa,
surrounded by corn fields and gardening with my family, I developed a love for
agriculture and the environment. My entire career, I've been focusing on applying
my skills to wrangle data together for agronomists, environmentalists, research
scientists, and farmers whether on the land or in the sea. In my career, I've helped
to automated the collection of billions images for computer vision tasks and
terabytes of telemetry from sensors all over the world. 
For agronomists, I automated timelapse imagery
for research scientists to phenotype different species of corn. The biggest
challenges were dealing with the extreme temperatures, humidity, lack of
stable electricity, mischievous research scientists, and the limited
resources of a Raspberry Pi. 
For fish farmers, I automated monitoring the growth and behavior of fish.
In the open ocean, there is so much variability in the environment making it
very difficult to capture data. One of the biggest challenges was collaboration
with a global team. 
For coffee farmers, I'm building models to monitor crops to predict
yield, disease, and pests. The most fun part of this project is
volunteering and taking ownership of the data collection and analysis.
The most challenging part is domain knowledge and rigor required to
run a project independently. 
Over time, I hope to continue to learn and grow in my career,
applying my skills to industries and communities in need. The environment
will always remain a passion of mine and whether or not I'm working in
the field, I will always be working to protect it. If your organization
is in need please reach out to me at my email. 
Projects
I work on many different projects in my free time. Applying computer vision and AI to coffee plants, scuba diving footage, custom game engines, sales projections for my side hustle, and other querkier projects. Feel free to check out any of my projects you find interesting.
Underwater Stereographic Depth Estimation with OpenCV
2024-10-25
Ainascan - Tile-Based Semantic Segmentation of Coffee Leaves
2024-10-17
Ainascan - Instance Segmentation with Mask R-CNN on Coffee Leaves
2024-10-09AutoFarm - Exploration of Timeseries Models
2024-09-05AutoFarm - Pytorch MaskRCNN Instance Segmentation
2024-08-29AutoFarm - Correct Analysis Of Soil Moisture (Part 2)
2024-08-21Exploring Dominant Color Feature Extractors for ML Applications
2024-08-10Ensemble Methodology for Instance Segmentation Models
2024-08-03Kona Coffee Yield Identification - Research Update
2023-12-05IBM Deep Learning Course - Kona Coffee Yield
2023-11-19IBM Unsupervised Course - Kona Coffee Yield
2023-10-28IBM Classification Course - Kona Coffee Yield
2023-10-15IBM Regression Course - USA COVID19 Anaylsis
2023-09-26IBM Data Science Course - Deep Sea Coral Exploration
2023-09-12AutoFarm - Analysis Of Soil Moisture
2020-12-26Other
I've been fiddling with code since 2014. So I've made a lot of different things in that time. My first program was a terminal based vending machine code written in C! And it contained `goto` statements. Yuck! Most of everything I've made goes unpublished in any blog or notebook. But here are some direct links so some of my favorites.