I'm Ratish. Welcome to my Github. At the moment I'm focusing on full stack and applied AI/ML software engineering and development. In the past, I've done freelance work building bots for the NFT/Web3 community, and I also did some open source work on a Python package (ArviZ) recently for GSoC 2024.
Currently Learning More About:
- AI-augmented coding patterns and methodology- including working effectively with AI agents (productivity enhancements here are potentially so massive, and it likely will become the norm in the next few years)
- ML/AI-engineering techniques and best practices- actually using AI/ML for features in fullstack apps, LLM usage techniques like fine-tuning, RAG, prompt-chaining, MoE, etc. Making full use of these kinds of emerging intelligence wherever possible and advantageous.
- The auxiliary Devops-y tech productionized apps need (CI/CD, containerization, queues and in memory caches, cloud provider tools for scaling, database sharding, the intricacies of a backend web server- that sort of stuff). These are of course fundamental software engineering concepts, especially for anything pushed to production- necessary to scale products smoothly.
Tech Stack: (so far)
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