Domain > rileymunro.dev

More information on this domain is in AlienVault OTX

DNS Resolutions

Date	IP Address
2020-11-01	65.8.186.23 (ClassC)
2020-11-01	65.8.186.77 (ClassC)
2020-12-04	99.84.176.82 (ClassC)
2021-01-09	99.84.214.48 (ClassC)
2021-01-14	99.84.214.91 (ClassC)
2024-11-19	99.84.66.88 (ClassC)
2025-03-28	99.84.66.18 (ClassC)
2025-06-04	99.86.38.60 (ClassC)
2025-09-27	99.84.66.121 (ClassC)
2026-01-09	3.163.24.61 (ClassC)
2026-03-07	3.163.24.39 (ClassC)

HTTP/1.1 200 OKContent-Type: text/htmlContent-Length: 4222Connection: keep-aliveVary: Accept-EncodingDate: Tue, 23 Jul 2024 00:50:11 GMTLast-Modified: Fri, 24 Dec 2021 20:21:39 GMTETag: d9d300a9fcf8e7

!DOCTYPE html>HTML>	HEAD>		TITLE>Riley Munros Portfolio/TITLE>		link relstylesheet hrefhttps://unpkg.com/purecss@1.0.1/build/pure-min.css integritysha384-oAOxQR6DkCoMliIh8yFnu25d7Eq/PHS21PClpwjOTeU2jRSq11vu66rf90/cZr47 crossoriginanonymous>		link relstylesheet hrefstyle.css>		meta nameviewport contentwidthdevice-width, initial-scale1>	/HEAD>	BODY BGCOLORFFFFFF>		div classcontainer>			div classmain-l>				h1>Projects:/h1>				h4>Frontend and Backend Development/h4>				p>Developed various apps positioned on both the Frontend and Backend. Filled multiple different roles from team management to developer. Some examples include a hrefhttps://www.curo46.com>Curo46/a> and a hrefhttps://www.shieldscore.com>ShieldScore/a>/p>				hr>				h4>Edge Device Development/h4>				p>Created edge devices for various projects, including a hrefhttps://www.bakerhughesds.com/measurement-sensing/lumen> Baker Hughes Project Lumen/a>. Edge devices were built to communicate and collect data from various sources such as compressors through modbus, weather stations, even custom MCUs. MQTT protocol was used and data was processed through custom services on the cloud or serverless functions. Loss of data was completely avoided even when data was being sent on a second-by-second basis./p>				hr>				h4>Lupus Data Science Project/h4>				p>This was a project done for the Oklahoma Medical Research Foundation. I created a deep neural network based on genetic data collected from 10K+ people with and without lupus. The model was then capable of predicting if a person had lupus with 75%-80% accuracy. I then analyzed the model to see which specific genomes and genomic combinations has the greatest effect (or carried more importance) on lupus predictions./p>				hr>				h4>Implementation and Deployment on the Cloud/h4>				p>Designed and implemented solutions for various clients and their products, both new and old, to be deployed on the cloud. Each project had its own unique challenges and requirements, such as high data frequency, passwords changing on an inter

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Domain > rileymunro.dev

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