Danielle Hon

Co-founded ContextForce to revolutionize how unstructured data, especially from PDFs, is transformed into structured formats for AI-driven applications. Led the development of a cutting-edge PDF parser and executed key strategies to drive the company forward.

• Launched a Vision-Driven Startup: Identified a market need for enhanced data extraction in AI applications, particularly focusing on PDFs, and successfully positioned ContextForce as a leading solution in this space.
• Developed a High-Performance PDF Parser: Built a custom parser in Python, leveraging OCR and LLMs to precisely and quickly extract text from images, tables, formulas, and forms, outperforming existing tools in both accuracy and speed.
• Conducted Market Research: Researched competitors, reviewed forums, and gathered customer feedback to identify pain points, guiding continuous product improvements.
• Engaged in Content Marketing: Authored articles on Medium.com to share insights and document the development journey, working to build an online presence and raise awareness.

As a programming tutor, I leveraged my deep subject knowledge to make complex Java concepts accessible to high school students, ensuring they could grasp challenging material with ease. I patiently guided students through debugging, using clear and effective problem-solving strategies to help them overcome obstacles. Additionally, I developed tailored lesson plans in math for grades 7-10, creating an engaging and supportive learning environment that fostered both comprehension and academic growth.

• Optical Character Recognition (OCR): Gained experience in OCR techniques to extract text from scanned PDFs and images, leveraging AI vision capabilities for accurate document analysis.
• Prompt Engineering: Developed proficiency in prompt engineering to optimize LLM performance for diverse document formats, enhancing extraction accuracy.
• SDK Packaging: Created an SDK package for public use, simplifying integration and improving tool accessibility.
• Algorithm Development: Engineered a formula recognition algorithm to process complex document structures, including formulas and tables.

• Retrival Augmented Generation (RAG): Gained experience using RAG
• Text Embeddings and Vectorization: Using HuggingFace to embed MD content
• Vectorstore Retrival:Use semantic search to retrieve semantically similar embeddings for query context
• Integration of various LLM models:OpenAI, Claude, Gemini, Groq

• Expert Evaluation Criteria: Developed and defined critical factors for evaluating PDF parsers, reflecting a deep understanding of parsing complexities.
• Automated Testing: Engineered and streamlined the testing process, leveraging automation to enhance accuracy and efficiency.
• LLM-Based Objective Analysis: Implemented Language Models to provide unbiased performance scoring and analysis of each parser.
• Comprehensive Test Data: Compiled and analyzed a diverse set of complex PDFs, not only enabling precise differentiation between parsers but also providing valuable test data for others to use in their own evaluations.

• Evaluation Expertise: Defined key evaluation factors for AI vision models, enhancing my understanding of performance metrics.
• Automated Testing: Developed and automated the testing process, improving efficiency and accuracy.
• Detailed Analysis: Conducted thorough image data analysis to effectively differentiate between models, gaining insights into their capabilities.
• Serverless Deployment: Used CloudFlare to deploy the testing suite demo on a user interface, facilitating accessible and streamlined evaluations.

As the founder and president of the AI Club, I initially encountered challenges with low attendance and engagement from the student body. Recognizing that a focus on the technical aspects of AI was not capturing interest, I decided to pivot to a more engaging approach by incorporating educational and fun activities. This shift not only revitalized the club's appeal but also aligned with our mission to highlight AI's positive impact on learning. I guided a team of students in exploring AI's academic potential and advocated for the responsible use of LLMs through interactive workshops and public speaking engagements. Additionally, I organized fundraising events and managed outreach initiatives, which were instrumental in growing and sustaining the club’s membership and influence.

As a Science Olympiad State Qualifier, I applied my expertise in coding and electrical engineering to design and build a robot from scratch, mastering Arduino programming, motor function, circuitry, and optimizing designs within budget constraints. Additionally, I developed a functional detector by integrating sensors and chemistry principles, demonstrating resilience through continuous problem-solving.

Proudly represented South Pasadena High School in competitions and tournaments, including:

• 2024 Southern California Science Olympiad State Tournament at Caltech
• 2024 Los Angeles Rio Hondo Regional Tournament
• 2024 UC Riverside Highlander Invitational
• 2024 BirdSO Science Olympiad Invitational at USC

As Secretary, I played a crucial role in recruiting new members and collaborating with club officers to expand the club's influence. Through active participation in club activities and competitions, I gained hands-on experience in ethical hacking, penetration testing, and defensive cybersecurity techniques. I also self-taught essential Linux security practices, such as system hardening, firewall configuration, and intrusion detection. My skills culminated in securing a position as a Silver Tier Semifinalist in the AFA CyberPatriot national competition, where I demonstrated advanced expertise in threat mitigation and system vulnerabilities.

As Vice President, I led educational efforts by teaching Python and data structures, which enhanced members' programming skills. I also organized and executed fundraisers, raising $2,000 to support club activities and competitions. Additionally, I coordinated and managed events like hackathons, fostering greater member engagement and excitement.

I began as a committed player on the girl's basketball team, dedicating over 2 hours daily to training and pushing through challenges, including my height, to support my teammates and contribute to the success of the team. As my physical limitations became more evident, my coach recognized my strong analytical skills and promoted me to team manager. In this role, I recorded and analyzed player data during games to develop strategies that enhanced the team's performance. This transition allowed me to continue contributing to the team's success, allowing me to fulfill my core goal: to drive the team to victory.

• KREA AI: Unleashing Creativity with the Future of AI Image Generation