HelloBot - AI Platform
AI & AutomationCase Study

HelloBot - AI Platform

Production-grade conversational AI platform. Built the admin panel from scratch and co-designed the platform's agent architecture. Currently as Team Leader, I oversee deployments, coordinate the team, and drive key technology decisions.

AI Solutions Engineer → Team Leader

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What I Built

Admin panel from scratch

Designed and built a comprehensive platform management panel from scratch for enterprise clients. Dashboard, scenario configuration, user management with role-based access control. Self-service without technical support needed.

Admin panel from scratch

Co-designed agent architecture

Participated in designing the platform's agent architecture — defining flows, collaborating with the backend team on integrating the presentation layer with the AI engine. Involved in technology decisions shaping the product direction.

Co-designed agent architecture

Deployment oversight

As Team Leader, coordinating solutions architects and the deployment team. Responsible for quality of delivered solutions, sprint planning, and enterprise client communication.

Deployment oversight

Challenge

A growing AI platform needed a robust admin panel that would allow business clients to independently manage their configuration without technical support.

Solution

Designed and implemented the panel from scratch — dashboard with metrics, configuration management system, integrations with clients' external APIs. Entire frontend layer in React and TypeScript.

Key Decisions

Full-stack panel architecture: React + TypeScript frontend integrated with .NET backend API

Resource-level RBAC permission system — multi-tenant enterprise support in a single instance

Integration layer with clients' external systems (CRM, ERP, bookings) with error handling and retry

Co-deciding on agent architecture direction and conversational flows

I joined as the sole frontend developer and built the entire panel from scratch. Today as Team Leader I oversee deployments, coordinate the team, and co-shape the product architecture. The most satisfying part is seeing the platform grow — from MVP to an enterprise solution.
K

Kacper Kawczak

AI Solutions Engineer → Team Leader

Results

Panel enables clients to manage configuration independently, significantly reducing support team workload. Shortened onboarding time for new clients. Promoted to Team Leader — overseeing deployments and key technology decisions.

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