Hello πŸ‘‹, my name is

Building production software since 2017 πŸš€

Laxit Patel

Agentic AI Engineer

I ship AI into production systems: agents that answer from live data, with guardrails, evals and observability around them. Laravel, Go and Kotlin on AWS, from the database schema to the deploy pipeline. 2Γ— AWS Certified Developer, featured on the AWS Industries blog.

What I work with

Production : {
  AI systems : {
    LLM tool calling, MCP servers, guardrails,
    golden-set evals, Langfuse tracing,
    voice agents (LiveKit, Temporal),
  },
  Backend : {
    Laravel (PHP 8.4) | Go | Kotlin,
    PostgreSQL | MySQL | DuckDB | Parquet,
  },
  Mobile : {
    Native Android (Kotlin, Compose, CameraX),
    Flutter,
  },
  Cloud and reliability : {
    AWS (Lambda, Step Functions, Fargate, RDS),
    Docker, Kamal, OpenTofu | Terraform, GitLab CI,
    CloudWatch, zero-downtime deploys with rollback,
  },
  Testing : {
    Pest | PHPUnit, golden vectors, property tests,
  }
}

Career

Where I’m heading

I’m aiming for Forward Deployed Engineer and Site Reliability Engineer roles, with Kotlin and Go as my main languages.

FDE. I already work this way: I sit with a client’s real systems and data and ship AI into them, from a storefront customer-service agent and a voice agent on phone lines to report pipelines over marketplace data.

SRE. Infrastructure as code (OpenTofu, Terraform), zero-downtime deploys with rollback, secrets and observability (Langfuse, CloudWatch), memory and cost work on multi-GB pipelines, and a scanner that warns before the APIs our code depends on are retired.

Certifications

For the full career timeline, see the resume.