Software Engineering Daily Small AI Models with Yoeven Khemlani
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Jul 24, 2025 
Yoeven Khemlani, the founder of JigsawStack, shares his journey from game development to innovating small AI models for backend applications. He and tech expert Gregor Vand dive into the advantages of these models, highlighting their speed and cost efficiency. They discuss advancements in web scraping, data translation, and the importance of fine-tuning for consistent outputs. Yoeven also touches on community engagement through hackathons and the challenges of solo entrepreneurship, emphasizing the need for strategic market moves.
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Yoeven's Founding Journey
- Yoeven Khemlani started in game development before moving to banking and founding a startup called Stay R in Southeast Asia.
- His journey evolved into creating Jigsaw Stack to automate backend tasks using AI, inspired by the rise of GPT-3.
Power of Specialized Small Models
- Fine-tuning small models specialized for a task can outperform larger LLMs in backend automation like structured data scraping.
- Using small models reduces cost and boosts deployability while maintaining high accuracy tailored to specific use cases.
Expanding Beyond Web Scraping
- Jigsaw Stack expanded from web scraping to broader data extraction such as OCR and speech-to-text using vision LLMs and advanced optimization.
- They also developed specialized translation models to replace generic providers, improving quality for specific language needs.
