Harish Darko

Resume

Resume for backend and cloud roles.

The PDF summarizes my professional backend experience, project-based cloud work, and the delivery and troubleshooting practices I can explain in detail.

The path so far

Fintech backend first, then cloud and AI builds.

Each dot is a dated point from the resume.

  1. May 2021Junior Software EngineerIonixx Technologies, fintech SaaS
  2. Apr 2023Software EngineerIonixx Technologies
  3. Jul 2026CaseLensAI ticket triage, live on AWS
  4. Aug 2026Open source PR mergedNousResearch/hermes-agent
  5. Sep 2026OwnVeraETF look-through, live demo
  6. Nov 2026Promise Reviewmy AI-coding workflow

What the PDF covers

Professional experience, selected projects, and core skills.

The resume separates professional experience from project-based cloud and infrastructure work.

01

Experience

About 2.5 years at Ionixx Technologies, fintech SaaS: Junior Software Engineer (May 2021 to Apr 2023), then Software Engineer (Apr 2023 to Oct 2023). Java and Spring Boot services, REST APIs, SQL, CI/CD pipelines and production troubleshooting.

02

Projects

CaseLens on AWS, OwnVera, Promise Review, and a merged open source contribution to NousResearch/hermes-agent.

03

Core stack

JavaSpring BootREST APIsSQL / PostgreSQLAWSTerraformDockerGitHub ActionsReactTypeScriptLLM output validationevaluation

04

Reliability habits

Transactional outbox, idempotency, bounded retries, health checks, structured logs, metrics, runbooks and rollback planning.

05

Education

Cloud Computing at Durham College, Information Technology at Conestoga College, and Computer Science Engineering at KCG College of Technology.

Interview anchors

Four engineering workflows I can explain in detail.

Ask me about any of these in an interview.

  1. 01

    How an API change moves from code to build, container image, deployment, health check, logs, and runbook.

  2. 02

    How Terraform or Bicep keeps cloud changes readable before anyone applies them.

  3. 03

    How logs, metrics, request IDs, and smoke tests narrow a production issue.

  4. 04

    How I use AI during research and implementation, then verify the output with source review, tests, and runtime checks.