FAQ
- What does Hitesh Goel work on?
- Distributed systems and Web3 infrastructure professionally, with a growing focus on building and evaluating agentic AI tooling: MCP servers, coding-agent evals, internal developer tools.
- What's his background?
- 9+ years as a software engineer, including JPMorgan, Crypto.com, Gelato, and currently Moralis, where he builds production AI and agent infrastructure.
- What is this real experiments, real numbers series?
- An ongoing practice of publishing hands-on AI engineering experiments: what was tried, the actual measured result, and one honest conclusion, rather than tutorials or hot takes.
- What has he actually shipped?
- A one-click L2 rollup deployment pipeline at Gelato (OP Stack, Arbitrum Orbit, Avalanche L1), multi-chain wallet and analytics infrastructure at Moralis (a wallet-profitability engine on ClickHouse, Bitcoin support with up to a 374x latency improvement), exchange and wallet backends, and enterprise blockchain infrastructure at JPMorgan and Crypto.com. On the AI side: open-source Claude Code plugins (ContextSpin, RecallCheck) and internal AI tooling including a Grafana MCP server and code-review agents with persistent memory.
- Is Hitesh open to new roles or consulting?
- Yes. He is a senior backend engineer with 9+ years in Web3, DeFi, and fintech (JPMorgan, Crypto.com, Gelato, and currently Moralis), open to senior or staff-level backend and infrastructure roles, especially ones with a real agentic-AI component. He is also open to a small number of consulting conversations. Contact details are on the About page.
- Is there a community for people building this seriously?
- A small, private group for sharing real experiments, not hot takes, with no judgment unless asked for. Kept small on purpose: email one thing you've tried and measured to be considered.
Something not covered here? The About page has the full background and a contact link.