Building reliable systems at the intersection of engineering and intelligence.
I engineer backend systems where correctness, observability, and reliability matter — from crypto-exchange infrastructure to everyday product APIs.
Backend Systems
Building robust APIs and backend services with Python, Django, FastAPI and modern architecture — including blockchain and transaction flows for a crypto exchange.
Product Engineering
Turning fuzzy requirements into shipped features — scoping trade-offs, thinking about the user, and working closely with product and design.
Reliability & Operations
Ensuring data consistency, system observability, reconciliation and smooth operations at scale.
AI-Assisted Engineering
Leveraging AI agents and tools to accelerate development, automate workflows and solve complex problems.
Featured Writings
Using AI Without Losing Yourself
What research on LLM cognition and Karpathy's 'jagged intelligence' actually mean for how you should use these tools day to day
Human Mind vs. LLMs: What the 2026 Research Actually Shows
Sparse reward neurons, spurious rewards, jagged theory of mind, and the memory systems trying to patch an amnesiac architecture, what the research says about how LLMs actually think, compared to us
Dynamically Loading Django Messages with HTMX: A Step-by-Step Guide
A comprehensive guide on integrating Django messages with HTMX for dynamic, real-time feedback without reloading the page.
CORE BACKEND
INFRASTRUCTURE & RELIABILITY
AI / AGENT SYSTEMS
PRODUCT & COLLABORATION
SELECTED WEB3
"There are only two hard things in Computer Science: cache invalidation and naming things."
Phil Karlton
Netscape Engineer