Nitya Kumar, a 25-year-old Adobe employee based in India, successfully transitioned from a product design role at Meta to an AI-focused position by adopting an experimental, science-driven approach to learning. Kumar, who graduated from art school in the U.S. without a formal machine learning background, taught herself AI skills through YouTube videos and collaborative projects with friends.
Core Facts & Immediate Action
Kumar shifted her career mindset from a rigid ladder to a flexible lab, allowing her to experiment freely. She dedicated one hour daily to learning AI tools like Cursor, Gemini, and Figma MCP, eventually creating functional prototypes. Her playful experiments, such as a dance-tracking game and a Matcha recipe generator, helped her grasp AI tools and stand out to employers.
Deeper Dive & Context
The Shift in Career Mindset
Kumar initially saw her career as a linear progression but realized that embracing experimentation was key to adapting to the AI-driven industry. She treated her learning process like a scientist, testing hypotheses and iterating on ideas.
Learning Through Experimentation
Instead of formal education, Kumar relied on self-directed learning. She focused on small, achievable goals—like building a prototype in seven days—while using accountability partners to stay motivated. Her projects, such as a dance-tracking game, demonstrated her ability to apply AI tools creatively.
Tools and Techniques
Kumar used a mix of AI tools, including Gemini for prompt development and Claude for coding. She also adopted a "vibe coding" workflow, tailoring different tools to specific tasks. Her approach emphasized practical, hands-on learning over theoretical knowledge.
Impact on Career Transition
Kumar’s experimental projects helped her secure an AI role at Adobe. Her ability to showcase creative, functional prototypes likely made her a strong candidate in a competitive job market. Her story highlights the value of adaptability and self-driven learning in tech.