I’m Khalid — currently an ML Software Engineer Intern at Kinaxis; next up: Shopify. I love building reliable, low‑latency systems and developer experiences that make complex things feel simple. Coinbase is doing exactly that for the onchain world.

🪙 Why Coinbase?

  • Building the onchain platform: from the Base L2 to Smart Wallet and OnchainKit, you’re stitching a cohesive developer and user stack.
  • Pragmatic infra at scale: zero‑downtime Postgres upgrades, reliability culture, and a bias for boring, correct primitives in critical money paths.
  • Security and custody depth: MPC, hardware isolation, and clear recovery stories — the kind of defense‑in‑depth I care about when systems move value.

🛠 What I bring

  • Interac (payments): Built a batch API for distributed encryption retries → reduced bulk failure rate by 47%. Added 22+ API fields on a service called 3.8M/day → +36% AML analytics coverage.
  • Canadian Tire: Shipped a sub‑second loyalty engine for 5M+ users over 300+ GB; reduced prod server load by 11% with batching; Terraform for safer deploys.
  • Kinaxis (ML infra on Azure K8s): Fixed training bugs across hundreds of pods → 9–11% faster training; built accuracy metrics over Delta + Spark saving 100+ eng hours/month; CI/CD that trims 40+ hours/month.
  • Projects: FLOW serves real‑time inference to 200+ concurrent users with sub‑second latency; distributed systems experience across AWS/Azure with Kubernetes and Docker.

🎯 Where I want to help at Coinbase

  • Make Smart Wallet and passkeys feel instant: reduce p95 on auth, signing, and gas sponsorship flows.
  • Improve idempotency, retries, and observability in money‑movement and commerce paths.
  • Strengthen developer experience across OnchainKit and the Developer Platform so integration time keeps dropping.
  • Help Base apps with reliability patterns (rate limits, backoff, caching, eventing) so spikes stay boring.

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