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Professional profile

AI engineering, backend systems, and product execution

Melkon Hovhannisyan builds AI systems, backend architecture and technical teams. Most of his production work has been in fintech and finance automation, with cybersecurity, marketplaces and operations software around it.

He was a core backend engineer at Bridgewise, an AI financial intelligence platform that raised $45M, where he cut cloud infrastructure cost by 75%, and a senior backend and AI engineer at Datarails, the FinanceOS platform for finance teams that raised $175M. Earlier he built security infrastructure at Zerocopter and logistics automation at DHL.

As Co-founder & CTO of Direlli he grew the engineering team to 20+ and shipped the company's own staffing platform. He now applies the same approach to businesses run by AI agents, with a human approving anything that touches money; Plain Freight is the live example.

His AI work is practical: LLM integrations, agent workflows, retrieval and automation pipelines that run in production. Former Forbes Technology Council member and WorldSkills Champion.

Melkon is based in Barcelona, Spain. Melkon.Tech gives founders, teams, journalists, and event organizers a clear view of his work, writing, recognition, and contact paths.

He founded and operates Plain Freight, a small-freight agency run by AI agents, with a human approving anything that touches money.

Partner

Working with Melkon

Melkon partners with founders, operators and investors who want a technical co-founder who has built the company side as well as the code.

Technical co-founder

Equity partner on an AI-native product: fintech, finance operations, B2B SaaS, or an operations-heavy service that AI agents can run. He builds the product, runs the engineering and owns the cost and reliability numbers.

Fractional CTO or technical advisor

For a funded company that needs senior technical leadership without a full-time hire: architecture, AI integration, technical due diligence, hiring the first engineers.

Build partner

For an existing business that wants a process turned into software or into an AI-operated workflow, delivered and maintained, not prototyped.

What you get: 7+ years inside funded fintech platforms, a company co-founded and scaled to 20+ engineers, and a live AI-operated business he runs himself.

Write to hello@melkon.tech with what you are building. Or connect on LinkedIn.

How Melkon works

Practical technical leadership for AI and backend products

Melkon.Tech goes beyond a short bio. It explains what Melkon builds, where he has worked, and how he runs software projects. The pattern is simple: clear product thinking, reliable engineering, and AI only where it adds value.

Production AI and automation

Melkon helps teams turn AI experiments into workflows they can trust.

  • LLM integrations, agentic task flows, and retrieval systems
  • Internal assistants and automation pipelines
  • Evaluation loops, observability, and permissions
  • Fallback behavior that keeps people in control

Backend architecture and cloud systems

A good AI product still needs dependable systems underneath it.

  • APIs, services, and clean data models
  • Deployment pipelines and cloud environments
  • Python, FastAPI, Django, and Node.js
  • PostgreSQL, Redis, AWS, Kubernetes, and Docker

Founder and CTO execution

Melkon works where product choices and engineering choices meet.

  • Decide what to build first
  • Find where automation creates real leverage
  • Spot which parts must be solid from day one
  • Keep the rest simple until demand is proven

Technical due diligence and delivery

For founders, hiring teams, and investors, Melkon reviews what decides whether a plan ships.

  • Product architecture and backend reliability
  • AI readiness and technical risk
  • Data flow, security, and model behavior
  • Cost drivers and hidden roadmap tradeoffs

Built for real constraints

Every field Melkon works in has its own hard requirement:

  • Fintech: accuracy and a clear audit trail
  • Cybersecurity: trust and careful operational design
  • Logistics and e-commerce: stable integrations and clean data
  • AI tools: guardrails and output people can actually use

So the work starts with the business process, not the tech label. The system must fit the users, the data, the approvals, and the real cost.

Useful when the problem is technical and commercial

Many projects stall between a good demo and a daily product. The real version needs auth, permissions, analytics, monitoring, error handling, and reliable deployment. That middle ground is where Melkon is strongest.

For AI projects, the useful questions are specific:

  • What data can the model use, and what should it never see?
  • How is output quality checked?
  • When does a human approve the result?
  • How do costs behave at scale?

Those answers shape the system more than the model name does.

For backend work, the goal is reliability without extra process. Melkon can:

  • Move from architecture review to building
  • Debug production behavior and improve deployments
  • Help a team make clear build-versus-buy calls

He can join as a senior builder, technical lead, CTO advisor, architecture reviewer, or automation partner. The goal is simple: working software, better decisions, and a system that is easier to run. Typical outcomes:

  • An AI workflow that replaces repetitive manual review
  • A backend service that is easier to scale and monitor
  • A cloud setup with cleaner deployment and lower cost
  • A roadmap that separates urgent work from nice-to-have

His background in WorldSkills, Forbes Technology Council, and startups helps visitors verify the context. The pattern is simple: learn the domain, reduce guesswork, choose a reliable design, and keep business impact visible.

Projects

Melkon Hovhannisyan has worked on AI, fintech, cybersecurity, e-commerce, logistics, and platform projects.

Melkon Building AI-Powered Products

CTO · Technical Co-Founder · AI Builder

Melkon has 7+ years of experience, most of it in fintech and finance automation, with cybersecurity, logistics and e-commerce around it. He builds products where reliability, cost and business impact matter.


He is Co-founder & CTO of Direlli, a former Forbes Technology Council member, and a WorldSkills Web Technologies Champion.


His core tools include Python, FastAPI, Django, AWS, Kubernetes, LLMs, PostgreSQL, Docker, React, and TypeScript. His main focus is backend architecture, cloud infrastructure, and applied AI.

Melkon Recognition & Achievements

Excellence across competition, industry, and innovation

Melkon is a WorldSkills Web Technologies Champion. He represented Armenia in Web Technologies at WorldSkills Competition 2022 Special Edition.


He later served as WorldSkills Champions Trust Representative for Asia (2023-2024).


He is a former Forbes Technology Council member. His articles cover cloud engineering, ML security, startup strategy, retail technology, local production, and project management.


As an AWS Certified Solutions Architect and Cisco Cybersecurity specialist, Melkon holds industry certifications that back his hands-on expertise in cloud infrastructure and security.

Let's connect with Melkon

Find Melkon across the web

Melkon shares engineering notes, open-source work, startup updates, and ideas on AI and backend systems.


For background, open-source work, press links, or a project conversation, start below.

Let's Talk with Melkon Hovhannisyan

Let's connect and bring your vision to life!

Use this form to get in touch, or connect on social media. I usually reply Monday to Friday, 9:00 to 20:00 Barcelona time.