Dylan Siew

Computer Science and Economics Undergraduate

Singapore

About

Experience

  • Founder at TheLucid
    Aug 2024 - Present · 1 yr 11 mos

  • Profit and Loss Intern at Shopee
    Apr 2024 - Aug 2024 · 5 mos

  • AI and Data Science Intern at Temus
    Jan 2024 - Apr 2024 · 4 mos

    • Expertise as a Full Stack Engineer specializing in feature implementation using React (Frontend) and FastAPI (Backend). • Developed an advanced chatbot utilizing Language Learning Models (LLMs) such as GPT-4 and Gemini, incorporating real-time data streaming. • Independently engineered a custom chatbot tailored to client specifications, featuring dynamic chart generation for enhanced user engagement. • Implemented 10 unique personalities and intentions through prompt engineering, enabling sophisticated analysis of unstructured data. • Designed and executed a custom UI interface, incorporating iterative feedback to refine user experience and functionality. • Collaborated closely with the HR team in the development of a commercial product, leveraging interdisciplinary insights to inform product strategy. • Customized features to meet the diverse needs of various clients, demonstrating flexibility and a client-centric approach to product development.

  • IT Security Intern at QCP Capital
    May 2023 - Aug 2023 · 4 mos

    • Facilitated day-to-day IT operations within organisation • Supported maintenance and development IT capabilities, improving internal processes by 60% • Orchestrated and seamlessly integrated new solutions across various departments to bolster company's cyber resilience • Formulated and published 10 robust GRC policies • Headed design and implementation of IT solutions to meet MAS requirements • Initiated and organised 3 cybersecurity awareness programmes to promote security-orientated culture

  • Research Assistant at Nanyang Technological University Singapore
    Dec 2022 - Jul 2023 · 8 mos

    • Spearheaded the development of advanced algorithms utilizing natural language processing (NLP) and machine learning for in-depth text analysis and a highly efficient web-scraping program, enabling precise data extraction and insights. • Led a cross-functional team of 5 members, directing daily activities, prioritizing tasks, and optimizing the codebase to ensure seamless operations of 3 web-scraping servers • Conducted thorough analysis of data analysis algorithms, identifying bottlenecks and areas for improvement. Implemented enhancements, resulting in a 25% increase in efficiency and quicker data processing • Strategically optimized the allocation and utilization of university-level resources • Proactively engaged with stakeholders, proposing innovative solutions, and facilitating fruitful discussions to align research goals with organizational objectives