Tyler Pedelose

Herndon, Virginia, United States

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Summary

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Senior

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Top School

Tyler Pedelose is a software engineer and data scientist with 11 years of experience building production systems for satellite imagery and geospatial applications, currently pursuing an MS in Computer Science at UT Austin. He has delivered full-stack solutions using React and Java SpringBoot, optimized training pipelines for large-scale computer vision models at Maxar, and contributed backend logic to the Pelias geocoder API. His strengths span object detection, image segmentation, deep reinforcement learning, and geospatial tooling like GeoPandas and Rasterio, combined with practical cloud experience on AWS and Firebase. Comfortable moving between research-grade ML and pragmatic engineering, he’s reduced model training times and implemented robust data pipelines for massive imagery datasets. An unconventional communicator who once framed his CV as a D&D character sheet, Tyler pairs technical depth with a playful, collaborative approach to problem solving.

11 years of coding experience

Master of Science - MS Computer Science, Master of Science - MS Computer Science at The University of Texas at Austin

Nanodegree Deep Reinforcement Learning , Nanodegree Deep Reinforcement Learning at Udacity

Study Abroad Italian Language, Study Abroad Italian Language at Universita del Salento - Scuola di Italiano per Stranieri

Bachelor of Science - BS Computer Science and Engineering, Bachelor of Science - BS Computer Science and Engineering at The Ohio State University

Github Skills (7)

javascript10

nodejs10

api10

geocoding10

apidoc10

testing9

lodash8

Programming languages (5)

C#CJavaScriptJupyter NotebookPython

Github contributions (5)

pelias/api

Jun 2018 - Jun 2018

HTTP API for Pelias Geocoder

Role in this project:

Back-end Developer

Contributions:6 commits, 5 PRs, 2 comments in 14 days

Contributions summary:Tyler primarily contributed to the backend logic of the Pelias API, focusing on predicates and routing. Their work involved modifying existing code and adding new predicates to control API behavior, specifically related to source filtering and placeholder disambiguation. They also addressed an issue within the routing logic. These changes suggest a focus on the API's internal logic and its interaction with data sources.

geocoderpeliasgeocoding

tiranno/coach_watson

Jan 2016 - Apr 2016

Contributions:22 PRs, 50 pushes, 17 branches in 2 months

fitnesswatson

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