Creating Generative AI Solutions for industry-leading companies in healthcare, manufacturing, and more

Building Enterprise AI Applications for Customers in the Federal and Commercial Space.Projects worked on:US Air Force RSO Predictive Maintenance (Aerospace and Defense)ENI Reliability (Oil and Gas)Nucor Health & Safety Generative AI (Steel Manufacturing)Boston Scientific Generative AI (Medical Devices)C3 Generative AI Product DevelopmentNucor Blueprints Generative AI (Steel Manufacturing)

My passion is commercial aviation. I founded this consulting travel blog with a mission of delivering “The Right flight for the right person”o Publish original air travel related content to share my experiences of numerous international and domestic airline and airports around the world through: > Travel blog (https://theaircraftking.com/about/) > YouTube channel (https://www.youtube.com/user/TheAircraftKing/) o Design customized travel routing for numerous followers combining business and technical aspects of the flight with traveler preference, while saving hundreds of dollars in the ticket price

o Automated and secured data fetching and data modifying operations for next generation firewall product Fawkeso Developed REST endpoints with go and bash that query relevant data from SQL database, format data properly, and push relevant entries to GCP bucket where customer information is available to support teamso Developed REST endpoints to parametrize SQL query for updating database to protect against SQL injection attacks through goo Used Kubernetes to test and deploy code changes in parallel for different processes across different podso Worked on migration of Fawkes codebase from Bitbucket to Gitlab

Worked on a project modeling satellite contact with ground stations worldwide for a defense organizationo Worked with ExtendSim simulation tool to write code in C to generatesimulation data and output raw data to excel sheetso Developed scripts in Python that calculated statistics from raw data,formatted properly in dataframes using Pandas library, and outputted to Excelfor client presentation using XlsxWriter libraryo Improved Python code runtime by 40% by writing scripts that bypassedunnecessary iterations

Developed a Logistic regression model in Python that takes passenger info on flights out of San Francisco and predicts the most popular destination at certain times of the year, the preferred airline, and the airfare passengers would be willing to pay.

Developed a machine learning model in Python for chance of survival of an individual on the Titanic based on gender, purchased fare class, and other factors using random forest regression, decision tree regression, and 11-nearest neighbor classifier

o Designed and developed the backend database iOS application targeted for students to provide everyday services e.g., purchasing and delivering food, turning in assignments across campus, etc. to other studentso Implemented Firebase database for application to provide a direct connection to a form of cloud storage through Google's cloud storage system for applicationso Used Swift to take app user info, store it to Firebase using updateValue methods,encrypt using Firebase default 256-bit encryption, and fetched necessary data during each user session using ref method

o Developed database application in Java for flying school pilots, which calculated the nautical distance between two nodes by using the haversine formula and provided the flying range based on aircraft type including provision for inclement weather

o Developed ETL jobs with Java to modify large spreadsheets of raw client data and create databases with the cleaned and filtered data in different formatso Created Relational databases using SQLo Created small-scale graphical databases using the Cypher querying languageo Worked directly with the development team to create a final product for the client and presented the product at a meeting with Chief Technology Officer, developers, and the client