Djordje Kartaljevic — AI Engineering and Full-Stack Development
LinkedIn LoveGift live product GitHub projects
I turn ambitious ideas into testable, deployable products—across AI workflows, web platforms, and mobile applications.
RAG, structured LLM outputs, agent workflows, computer vision, evaluation, and automation with dependable boundaries.
Responsive interfaces, APIs, authentication, payments, background jobs, data, deployment, and iteration.
Product-focused iOS and Android work using Swift, SwiftUI, UIKit, Kotlin, Firebase, and thoughtful UX.
A live personalized-gifting product with checkout, shareable delivery, QR flows, and production deployment.
SaaS Web Payments Product
A creator-focused AI workflow for transcription, translation, multilingual narration, jobs, storage, and billing.
Python Flask React OpenAI Redis / RQ
Reliable extraction and agentic-AI coursework with typed outputs, validation, tests, and CI.
Python Pydantic watsonx.ai Granite
Computer-vision fusion with confidence weighting, tracking, smoothing, and explicit uncertainty handling.
PyTorch OpenCV MediaPipe YOLO
I care about more than making a demo run. My strongest repositories aim for explicit architecture, reproducible setup, validation and automated checks, honest limitations, and a result that another engineer can evaluate quickly.
Core stack: Python · Flask · Node.js · React · Next.js · TypeScript · Swift · SwiftUI · Kotlin · Firebase · Supabase · Redis · GitHub Actions
Currently building toward: a production-grade LangGraph project with explicit state, dependable tool contracts, evaluation, memory, observability, and human approval at consequential steps.
If you are building an AI product, SaaS platform, or mobile experience, connect with me on LinkedIn or explore the work above.