
Computer Science student at IIT Guwahati. I specialize in building scalable systems, machine learning solutions, and full-stack applications that solve real-world problems.
Thoughts on AI, software development, and the intersection of technology and innovation.
After building and deploying several AI systems in production, I've learned valuable lessons about scalability, reliability, and maintainability. In this article, I share practical insights on architecting AI systems that can handle real-world demands.
Exploring how AI tools like GitHub Copilot and GPT-4 are changing the way we write code and what it means for developers.
Deep dive into performance optimization strategies for React applications, from code splitting to memoization.
A comprehensive guide to taking your ML models from Jupyter notebooks to production-ready systems.
Key principles and patterns for designing systems that can handle millions of users and terabytes of data.
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