Project Case Study

Hayfish AI

AI-enabled product and automation ecosystem for enterprise use cases.

Role
Founding Engineer
Domain
AI Platform
Stack
6 technologies

01 — Problem

The Challenge

Organizations needed practical AI capabilities integrated into existing workflows.

02 — Solution

Solution Approach

Built an extensible architecture for LLM orchestration, APIs, and deployment controls.

03 — Architecture

Architecture Decisions

Modular AI gateway architecture with API mediation, model service integration, and environment-specific deployment controls.

  • A modular AI gateway mediates model services behind a stable internal API.
  • Environment-specific deployment controls separate experimentation from production.
  • Governance and auditability are built into the orchestration layer from day one.

04 — Stack

Technologies Utilized

Backend

  • Django
  • Python

DevOps

  • Docker

Cloud

  • Google Cloud

AI/ML

  • LangChain
  • OpenAI API

05 — Outcome

Measurable Outcomes

Accelerated delivery of AI-powered features with operational governance.

Faster automation rollouts
99.9% Service uptime
1 Governed AI gateway

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