About

Engineering Clarity in an Age of Hype

I build machine learning and LLM-based systems with a focus on making them usable, maintainable, and reliable in real-world settings.

In the wake of the AI revolution, I prefer working in environments where AI is treated as an engineering discipline. I value clarity, robustness, and long-term impact over short-term novelty. My work spans the full lifecycle of ML systems—from data ingestion and modeling to deployment, monitoring, and failure analysis.

What I Build

I focus on systems designed for real decisions, emphasizing strong defaults, clear failure modes, and room for uncertainty. My expertise includes:

• Guardrailed LLM pipelines: Ensuring outputs are safe and predictable.
• Agentic workflows: Building agents with deterministic cores.
• Production Engineering: Cost and latency-aware system design with rigorous evaluation and observability.

Core Stack (not exhaustive): Python, FastAPI, LangGraph, Langfuse, Docker, PostgreSQL, Vector Databases, Kubernetes, and more.

The Polymath Journey

Lately, I've aligned with the concept of "polymathy" - "Specialization is for insects". I have a predisposition to try and understand how different complex systems work — whether that's a neural network, the Fed, or human history.

This site is my personal corner of the internet to document that journey. You’ll find me writing about:

• Systems Thinking: How economic systems, psychology, and technology intersect.
• History & Philosophy: Exploring what was written, rewritten, or erased.
• Life: Hiking, nature, and insights from high-growth mindset resources.

Connect

I am currently open to consulting or working on predictive analytics, process automation, and Generative/Agentic AI.

• Location: Asia/Kathmandu
• Email: contact@prayagbhattarai.com.np