The History of DeepSeek: How Liang Wenfeng Built an AI Powerhouse from the Ground Up

Technology & Innovations
By Aria Moore

Liang Wenfeng, born in 1985 in Zhanjiang, Guangdong, China, has journeyed from a mathematics prodigy to a leading AI innovator in ways that are both inspiring and groundbreaking.

With a unique blend of academic brilliance, entrepreneurial foresight, and a passion for open-source collaboration, Liang has disrupted the AI industry in unprecedented ways.

Discover eight fascinating aspects of his life and achievements that showcase his transformative impact on technology and finance.

1. Early Academic Pursuits

© CTech

Liang Wenfeng’s academic journey began at Zhejiang University, where he pursued both bachelor’s and master’s degrees in electronic information engineering and information and communication engineering. His dedication to understanding complex systems was evident in his master’s thesis, which focused on target tracking algorithms using low-cost PTZ cameras. This early work laid the groundwork for his future innovations, as Liang honed his analytical skills and deepened his understanding of engineering principles. At this time, he was a young scholar, curious and driven by a desire to push boundaries and explore uncharted territories in technology.

2. Pioneering Quantitative Finance

© Lawyer Monthly

In 2015, Liang Wenfeng co-founded High-Flyer, a quantitative hedge fund that utilized AI and machine learning to revolutionize investment strategies. Under his leadership, the fund managed to handle assets totaling around $8 billion, marking its place as one of China’s largest in the category. Liang’s innovative approach not only drove financial growth but also set a new standard for AI application in finance. His ability to merge technology with financial acumen demonstrated his foresight and adaptability. Liang’s vision transformed High-Flyer into a leading entity in the financial world, driven by cutting-edge technology.

3. Strategic Technological Investments

© NDTV

Liang’s foresight in technological advancements became evident in 2021 when he began acquiring thousands of Nvidia GPUs. This strategic move was driven by his understanding of the essential role computational power would play in AI development. His decision provided a robust foundation for his subsequent ventures in the AI domain. By investing in these critical resources, Liang ensured that his projects would not suffer from limitations in processing capabilities. This calculated investment not only underscored his strategic thinking but also set the stage for his company’s competitive edge in AI advancements.

4. Founding DeepSeek

© Business Today

In 2023, Liang founded DeepSeek, an AI startup that quickly captured international interest. The company’s AI models, developed under his guidance, rivaled those of leading Western firms despite operating with limited resources. DeepSeek’s success can be attributed to Liang’s innovative approach and his knack for maximizing efficiency. His vision for the company emphasized performance and accessibility, disrupting traditional industry norms. By fostering a culture of innovation and resilience, Liang positioned DeepSeek as a formidable player in the AI landscape, challenging established giants and earning global recognition for its groundbreaking work.

5. Open-Source Advocacy

© Suara Belantara Borneo

Unlike many competitors, DeepSeek, under Liang’s leadership, embraced an open-source philosophy. This approach made their AI models accessible to a larger audience, promoting widespread collaboration and innovation. Liang’s commitment to transparency and sharing knowledge broke away from conventional industry practices. By encouraging open-source development, he not only fostered a community of innovation but also positioned DeepSeek as a pioneer of cooperative technological advancement. This strategy opened new pathways for collaboration and growth, challenging competitors to rethink their strategies and contributing to the democratization of AI technology.

6. Innovative Talent Acquisition

© 四川大学化学学院

At DeepSeek, Liang Wenfeng prioritized passion and creativity over traditional experience when assembling his team. He frequently recruited recent graduates, valuing fresh perspectives and innovative thinking. This approach fostered a culture of creativity and enthusiasm within the company. Liang’s unique talent acquisition strategy not only brought new ideas to the table but also cultivated a dynamic and adaptable work environment. By focusing on potential rather than experience, Liang empowered his team to push boundaries and explore novel solutions, contributing to DeepSeek’s reputation as a hub of innovation and forward-thinking development.

7. Government Recognition

© Bloomberg.com

In January 2025, Liang was recognized as a leading expert in AI by being invited to a symposium hosted by Chinese Premier Li Qiang. This acknowledgment underscored his influential role in advancing China’s technological capabilities. Liang’s contributions to AI and his innovative approaches garnered attention at the highest levels of government. His participation in the symposium highlighted not only his personal achievements but also the impact of his work on national and international stages. Liang’s recognition by the government reinforced his status as a pivotal figure in the tech industry, shaping the future of AI.

8. Market Disruption

© The Economic Times

The release of DeepSeek’s advanced AI model in January 2025 had a significant impact on the market, notably causing a substantial decline in Nvidia’s market capitalization. This disruption highlighted the transformative power of Liang’s innovations in the tech industry. By introducing a model that challenged existing technology, Liang showcased DeepSeek’s ability to compete with major players. This event underscored the disruptive nature of his work, as he continuously pushed the boundaries of what AI could achieve. Liang’s contributions have not only redefined technological possibilities but also reshaped market dynamics, signaling a new era in AI advancement.