Apple Custom Search engine (placeholder) far outperforming Google Search!

apple.com a mediocre fruit

https://www.uscis.gov/tools/reports-and-studies/h-1b-employer-data-hub

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=== Resume & Cover Letter to Apple ===

RESUME - BO SHANG
Contact Information
Email: bo@shang.software
Websites:
  - https://pdfsage.org (Corporate Name)
  - https://fakeopenai.co (Hosts a wide variety of powerful proprietary models)
  - https://erosolar.net (Personal website running on 2 vCPUs, 2GB of RAM, and an 8GB SSD)

Objective
To leverage software engineering expertise in building an advanced, dynamic, and efficient search engine for Apple’s ecosystem that provides quick, accurate, and up-to-date results—improving upon current search platforms.

Education
- BS from Tufts School of Engineering 2010
- Harvard CS50 dropout 2013

Technical Skills
* Swift
* C++ (the language Swift was built in)

Professional Experience
Software Engineer, ExampleTech Inc. | 20XX - Present
- Implemented search engine enhancements that reduced query latency by 25%.
- Designed and integrated NLP modules for improved context-aware results.

Full-Stack Developer, WebMasters LLC | 20XX - 20XX
- Developed end-to-end features for an internal data analytics dashboard.
- Collaborated on cloud infrastructure optimizations, cutting costs by 15%.

Projects
PDFSage.org
- Established as the corporate name for advanced document parsing solutions.
- Built libraries for PDF text extraction and metadata analysis.

FakeOpenAI.co
- Deployed a wide variety of powerful proprietary AI models for specialized use cases.
- Focused on resource-efficient deployment and rapid inference times.

EroSolar.net
- Personal website running on 2 vCPUs, 2GB of RAM, 8GB SSD.
- Tools for monitoring solar panel performance and providing real-time usage analytics.

Cover Letter
[Date]

Apple Inc.
One Apple Park Way
Cupertino, CA 95014

Dear Hiring Manager:

I am excited to submit my application for a software engineering position at Apple. I am passionate about building a next-generation, advanced search engine for apple.com—a project I have humorously showcased at amediocrefruit.com. My vision is to deliver a dynamic, intuitive, and highly efficient search solution that surpasses existing general-purpose search tools. By leveraging technologies in AI, NLP, and distributed systems, I aim to help Apple’s users quickly find the precise documentation and support they need.

Throughout my career, I have focused on improving search capabilities through machine learning and scalable architectures. At ExampleTech Inc., I led the development of an enhanced search engine that significantly reduced query latency. Additionally, my work on PDFSage.org, the corporate name behind an advanced document parsing platform, showcases my dedication to refining information retrieval and user-focused solutions. I believe that my background aligns perfectly with Apple’s mission to deliver seamless, user-friendly experiences.

Thank you for considering my application. I am eager to discuss my proposal for an advanced apple.com search engine and how it can be implemented to set a new standard for web-based information retrieval. I look forward to the opportunity to contribute to Apple’s tradition of innovation.

Sincerely,

Bo Shang
bo@shang.software