About
I'm a senior backend engineer with 9+ years across Web3, DeFi, and fintech (JPMorgan, Crypto.com, Gelato, and currently Moralis). My day job is blockchain data infrastructure. What I work on:
- At Moralis: multi-chain wallet and analytics systems on ClickHouse. A wallet-profitability engine, Bitcoin and Solana support, and the query and caching work that keeps it fast once real traffic hits it.
- Before Moralis: a one-click L2 rollup deployment pipeline at Gelato, exchange and wallet backends, and enterprise blockchain infrastructure at JPMorgan and Crypto.com.
- Agentic AI tooling, on top: internal tools (a Grafana MCP server, code-review agents with persistent memory, an automated post-session reviewer) and open source (the Claude Code plugins ContextSpin and RecallCheck).
I keep a running habit of publishing real, measured experiments instead of tutorials or predictions. I'd rather post one number I actually observed than ten opinions about where the field is going.
Background
- 9+ years across Web3, DeFi, and fintech · based in the UAE (GMT+4)
- Currently: Senior Software Engineer @ Moralis (multi-chain wallet & analytics infra on ClickHouse)
- Past: JPMorgan, Crypto.com, Gelato, Bake
- Core stack: TypeScript/Node.js, ClickHouse, Postgres, Redis, Kafka, Kubernetes, AWS/GCP
Open to new roles
I'm currently open to new roles. I'm looking for my next senior or staff-level backend or infrastructure role, ideally one with a real agentic-AI component. The work I do best: event-driven systems, blockchain and financial data pipelines, and the production plumbing that decides whether a feature holds up once real traffic hits it. Email me and I'll send my full CV, or download it here.
I'm also open to a small number of consulting conversations with teams working on similar problems: agentic tooling, evals, the parts of this that only break in production.
I'm also collecting interest for a small, private group for people building seriously with AI to share real experiments, no judgment unless you ask for it. If that's you, email me one thing you've tried and measured, and what happened.