Hey there! 👋, Shubham this side 👨, aka ssd0247, Namaste 🙏
👀 I’m interested in all things data and math! The messier to make sense of, the better it gets 🤓
🌱 I’m currently learning and experimenting with PLs (Go, Rust), tools & frameworks (PachyDerm, PyO3, DVC, MlFlow, ModelChimp etc.) and how it can help me build and run CPU-intensive ML algorithms.
My search for collaboration is heavily skewed towards projects that bridge the gap between the current state of AI systems in-the-wild versus the marvels that are conjured in controlled environments of research labs. Engineering software systems that can think, act, reason and plan on their own accord. Upgrading from narrow-AI to general-AI which I expect, as per my current knowledge, will require both the
symbolic-AIanddeep-learningbased approaches.
Topics that I have a fascination for is
- AI-alignment (what it even means to align AI agents. Do we have a clear picture of what our own alignments are ? Can we bucket ideologies and beliefs under one roof ?)
- AI-Embodiment
- LLM hallucinations and ways to control and minimize its occurrence.
- AI safety : In the end, there are real humans at the other end of these systems we build and therefore, all gaurdrails need to be deliberately enforced.
I am dogmatic about the belief that every software built by us, teaches us something enroute. So feel free to reach out to discuss any idea, no matter how naive it seems. Naive-Bayes algorithm is that only, "naive", but it still solves many real world problems. 😉

