Danial Asyraff

Working on sports video analysis and action spotting using deep learning

• Scalable Fintech Integration: Architected a multi-currency tokenized monetization system using Xendit, implementing IP-based currency detection and fault tolerant webhooks to achieve 100% payment reconciliation accuracy across 10,000+ transactions.
• System Architecture & Optimization: Engineered a sustainable backend by extracting reusable service layers, reducing controller complexity by 60% and cutting code review turnaround by 40% through strict separation of concerns.
• Data Modeling & API Design: Designed a normalized PostgreSQL schema and RESTful APIs to manage complex data relationships for players and statistics, ensuring high performance and data integrity for secure, scalable operations.
• Growth-Focused Feature Engineering: Built a robust user onboarding system featuring NAnoid-based invite links with automated permission grants, expiration logic, and analytics, significantly streamlining the match-joining flow.
• Machine Learning Optimization: Driving the end-to-end development of an AI-driven video highlight system, including dataset preparation, feature labeling, and iterative model testing; optimized recognition of in-match events by analyzing model performance metrics and refining training data to minimize false positives.

Assisted in research on assistive devices for the visually impaired

• Contributed to research on the design of ergonomic, comfortable, and portable assistive devices to help the visually impaired learn the Quran.
• Assisted in improving mobile applications for assistive devices, focusing on module content, voice recognition technology, and user-system interaction, benchmarking against similar applications in the market.
• Managed and coordinated the research project, ensuring smooth communication between team members, third-party developers, and stakeholders, while documenting progress for future improvements.
• Conducted device and mobile application testing, identifying flaws and recommending improvements, while keeping prototype documentation up to date.

Involved in data analysis and business development

• Analyzed sales and booking data using Google Colab, Google Sheets, and Metabase to identify trends and insights
• Assisted in developing "BEYONF by The Lorry", establishing procedures and managing communication.
• Revamped "TheLorry for Business (T4B)" by updating resources and gathering data for future planning.
• Successfully launched both BEYOND and T4B, significantly contributing to the company's growth.