CHECKOUT THIS DEMO
OF MY OLD SHOPIFY STORE:
Developed using: Liquid, Javascript & various .NET packages
SOFTWARE Developer
Currently working as Lead Developer at Audio Hacks
Designed and developed Audio Hacks (audiohacks.store) using Shopify Liquid, Javascript and .NET supporting packages and later rebuilt in ClickFunnels. Weekly product development, product page development, analytic testing, content creation and marketing to drive traffic and nurture customer relationships
SOFTWARE Developer
Currently working as
Lead Developer at Audio Hacks
Designed and developed the Audio Hacks website (audiohacks.store) using Shopify Liquid, Javascript and .NET supporting packages and later rebuilt in ClickFunnels. Weekly product development, product page development, analytic testing, YouTube content to drive traffic and nurture customer relationships
EXPERIENCE:
LEAD DEVELOPER
Led a small team of developers to create mobile applications in an Agile/Scrum workflow. Created & outlined development plans, policies and procedures to maximize collaborative efforts and developed several augmented reality applications combining virtual reality and machine learning components
SOFTWARE DEVELOPER
Developed physics-based analytical tools for modeling and simulating real world scenarios. Created mobile applications using ARFoundation to overlay helpful indicators in battle scenarios and aid decisions
PROJECTS:
Using: Unity, Vuforia, AWS S3, C#, SQLite, JSON
Highlights:
- First to develop Asset Bundle Cloud Hosting and Retrieval: with Advanced Model Target Databases using Vuforia SDK
- Camera VIN Scanner Scene: Scans VIN, makes call to Ford VIN API and receives model, trim and vehicle package data
- Downloads Vuforia Target Datasets: Hosted in AWS S3 Cloud Buckets get downloaded (created with Vuforia Model Target Generator)
- Dataset Gets Initiated & Camera Recognizes Vehicle: Hotspots are augmented and anchored throughout the car to click and learn
- Successfully launched to App Store & Google Play Store: (Ford Bronco 2022 Promotional from March-September 2022) with 810 downloads and 832 repeat sessions
Using: Unity, AR Foundation, C#, Android Studio, Xcode
Highlights:
- AR Ground Plane Detection: detect ground planes and augment hyper realistic vehicles in world space
- Universal Rendering Pipeline: Used for realistic materials, shaders and meshes and optimized for mobile performance
- Shadows From Weather API: gathered forecast data, sky coverage and sun position for calculating realistic shadows and reflections
Using: TensorFlow, Swift, Java, Android Studio, Xcode
Highlights:
- Neural Networks: used to train TensorFlow models with accuracy ranges over 90%
- Memory Management: fixed all memory leaks and major performance issues and rebuilt graphical user interface