Dragan Miljanović - AI-Native Software Engineer
Resume / CV

Private Project

Pharmacy Assistant — AI-Assisted Pharmaceutical Information Platform

AI-Assisted Pharmaceutical Information Platform

AI-Assisted Information PlatformWeb Application, Android Application, Backend, REST API, AI-Assisted Search
Pharmacy Assistant landing page interface

Overview

Pharmacy Assistant supports pharmaceutical information workflows with search, suggestions, results and AI-assisted retrieval.

Problem

Pharmaceutical information workflows can require structured search across medicine names, active ingredients, symptoms, alternatives and product details.

Implemented solution

The platform combines web, Android and REST API surfaces for authenticated information search and dashboard workflows.

Key features

Search by medicine name
Search by active ingredient
Search by symptom
Suggestions
Results list
Product details
Alternatives
Authentication
Session handling
Licensing status
Android interface
Web dashboard
AI-assisted pharmaceutical information retrieval

Target users / audience

Pharmaceutical information workflow users
Operators reviewing medicine information
Internal platform administrators

Business value

Centralized information workflows
Structured search and results
Improved internal information access
Foundation for controlled licensing workflows

My role

Product analysis and requirements definition.
Architecture planning and AI-agent tasking.
Implementation supervision across frontend, backend, database and platform-specific surfaces.
Debugging, test planning, acceptance review, deployment preparation and iterative improvement.

AI-native development workflow

  1. 01

    Requirements are converted into structured implementation tasks.

  2. 02

    Codex and AI tools are used for code generation, investigation and refactoring.

  3. 03

    Major tasks follow a READ → BACKUP → PATCH → VERIFY → TEST discipline.

  4. 04

    Human review controls architecture, acceptance, security decisions and release readiness.

  5. 05

    AI is used as an engineering accelerator, not as a substitute for validation.

Technical overview

Built as a web, Android, backend and REST API platform with AI-assisted search workflows.

Key engineering challenges

Presenting pharmaceutical information safely requires clear limitations and no replacement of professional judgment.

Testing and verification

Manual browser testing
Authentication testing
REST API testing
Deployment checks
Regression testing

Product positioning

The implementation includes the capabilities presented in this case study and is designed for continued product evolution.
No automated testing claim
No penetration testing claim
No load testing claim
No medical accuracy certification claim

Professional disclaimer

This platform supports pharmaceutical information workflows and does not provide diagnosis or replace medical or pharmaceutical professional judgment.

Media gallery

Pharmacy Assistant landing page interfaceLanding page screen inferred from filename
Pharmacy Assistant landing page interface

Landing page screen inferred from filename

Pharmacy Assistant secondary landing page interfaceSecondary landing page screen inferred from filename
Pharmacy Assistant secondary landing page interface

Secondary landing page screen inferred from filename

Pharmacy Assistant administration dashboardAdmin dashboard screen inferred from filename
Pharmacy Assistant administration dashboard

Admin dashboard screen inferred from filename

Video demos

Admin dashboard demo video inferred from filename
User workflow demo video inferred from filename

Available for

Employment, custom software, software products and technical partnerships

Available for employment opportunities, remote international roles, custom software development, early product development, internal business systems, Python and SQL reporting solutions, Android and desktop development, product licensing, technical partnerships and individuals with viable product ideas.

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