I'm Tianyi Zhang
Every experience holds many stories and valuable lessons. Click the link to learn more details. I look forward to discussing those key moments that have driven my continuous growth with you!
Education Background

National University of Singapore

School of Computing Master of Science in Digital Financial Technology

Master's Degree 08/2025-12/2026

Jilin University

School of Communication Engineering & School of Economy Major:Communication Engineering & Minor:Finance

Double Bachelor's Degree Major Rank:18% 09/2021-06/2025

Scientific Experience

National University of Singapore Summer Program

July 2023 at National University of Singapore, Singapore

Research Content: Linear Regression Analysis of PM10 and PM2.5 Correlation in German Cities
Served as the team leader and reported that the first person in the group received an A Distinction and was recommended by Professor Dr. Edmund Low. Received recognition upon notification within Jilin University

Unleashing NFT Liquidity with DeFi Current State of NFTFi Translation

January 2023 at The Chinese University of Hong Kong, Hong Kong, China

Received an A+ and was recommended by Professor Wu Jing to participate in the 2nd International Conference on Digital Economy and Management Science (CDEMS 2024). The paper has been included in the CPCI CNKI Google Scholar
Research Content: Studied the financialisation paths of NFTs by systematically reviewing four major application areas: NFT lending, derivatives, fractionalization, and leasing. Conducted an in-depth analysis of the Blend protocol's innovative mechanisms for improving NFT liquidity. Summarized how DeFi technologies address key challenges in NFT valuation and capital inefficiency.

Jilin University Undergraduate Research Training Program

From December 2023 to June 2025 at Jilin University, Changchun, China

Research Content: Signal Type Recognition Algorithm Based on Invariant Scattering Convolutional Network
Designed and implemented a modulation recognition algorithm based on the Invariant Scattering Convolution Network (ISCN), using scattering coefficients as feature inputs. The algorithm combines Long Short-Term Memory (LSTM) networks, sub-spectral normalization, and residual modules to enhance signal recognition accuracy. To mitigate noise interference, a wavelet threshold denoising step was integrated, significantly improving the stability and accuracy of signal recognition.

Internship Experience

China Everbright Bank

Intern of Elite Practice Centre

February 2023 at China Everbright Bank, Changchun, China
Recognized as an Outstanding Intern and personally recommended by the Bank President.
Work Description: Participated in banking business process research and analysis, supported multidimensional data collection and decision-making; promoted optimization of customer service processes to enhance customer experience.

China Merchants Bank

Intern – System Development, Information Technology Department

From January 2024 to February 2024 at China Merchants Bank, Changchun, China
Work Description: Responsible for developing and maintaining VBA automation programs to improve work efficiency and reduce errors; participated in designing a blockchain- and NFT-based honor system to support employee evaluation and incentive mechanisms; optimized code structure to enhance maintainability; implemented data backup and recovery to ensure system stability and data integrity.

Extracurricular Activity

Alibaba ModelScope AI Large Model & AIGC Project Training Camp

Served as team leader, led the team to win first prize, and delivered the acceptance speech on behalf of the winning team.

Trained LoRA based on the Kolors model to achieve efficient transfer of diverse artistic styles; generated ≥8 coherently styled images to create a complete visual story; systematically evaluated the aesthetics and coherence of LoRA-generated styles to quantify model performance.

China Mobile M-Zone AI+ Innovation Program for Universities

Northeast Regional First Prize, AI Technology Track Outstanding Award at the National Finals, Nankai University

Designed and implemented an AI model based on human pose recognition to accurately classify Baduanjin and Wuqinxi movements, enhancing robustness in feature extraction and recognition of complex actions; developed a spatiotemporal fine-grained analysis model that integrates skeletal features and motion trajectories to objectively score the accuracy of movements, addressing the challenges of quantifying traditional manual assessments.

Certificates
Skills
  • Language Skills:Chinese (Native), English (IELTS 6.5 ; L:6 R:7.5 W:6 S:5.5)
  • IT Skills: Go, C, C++, Java, Python (PyTorch), SQL, Matlab, R, HTML, CSS, JavaScript, Hadoop, Hyperledger
  • Investment Experience: Extensive experience in the Chinese stock market, Hong Kong stock market, and cryptocurrency markets. Early adopter of digital collectibles in China and contributor to multiple international NFT projects.