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julicq/README.md
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> Connection established. Welcome to julicq@github:~$

visitors status uptime


julicq@github:~$ cat /etc/motd
   ┌──────────────────────────────────────────────────────────────┐
   │  Julian Pavlov · Builder of AI products & full-stack systems │
   │  Location:  Novi Sad, RS / GMT+2                             │
   │  Shell:     zsh + Warp                                       │
   │  Editor:    Cursor · Xcode · vim (when nostalgic)            │
   └──────────────────────────────────────────────────────────────┘
julicq@github:~$ whoami --verbose
identity:
  role:    "AI engineer / founder"
  focus:   ["agentic systems", "LLM apps", "RAG pipelines", "iOS apps"]
  taste:   "ships > talks. Pragmatic over fancy."
mission: "Build agents that do real work — not demos."
julicq@github:~$ curl -s https://pijeon.dev | less
   ┌──────────────────────────────────────────────────────────────┐
   │  πJeon Dev · Software, with intent.                          │
   │  The engineering house I founded · Novi Sad & Remote         │
   └──────────────────────────────────────────────────────────────┘

   Machine learning, software engineering and design as one craft
   with three instruments. Less wins when it does the same job.

   INTELLIGENCE   autonomous agents, RAG + retrieval evals,
                  fine-tuning on private data, forecasting
   ENGINEERING    typed, tested, instrumented backends · APIs,
                  infra, observability, data pipelines
   DESIGN         identity, interfaces, information architecture

   PRODUCTS
   Relay          control plane for an agent you already run:
                  keys, a pause switch, citations from your files
                  and a log that lasts. HTTP / MCP, no chat.
   Autopilot      task in, checked Change out. The model writes
                  the code; tests, an independent review and a
                  security audit decide. Runs inside your network.
   Odgovor        one line of HTML puts an assistant on a small
                  business site. Answers from the site, hands off
                  to a person when the site does not say.
   Custos™        independent mark for AI used in schools: a named
                  product, at a named version, public methodology.

pijeon.dev

julicq@github:~$ ls -la ./current-projects/
drwxr-xr-x  Pulsoric              # Agentic LibreChat for audit teams · custom agents, matters, SSO
drwxr-xr-x  screenplay.tech       # FastAPI narrative-structure analyzer for screenwriters
drwxr-xr-x  client-day            # Pre-sales CRM · FastAPI + SwiftUI/SwiftData iOS client
drwxr-xr-x  immersa-lang          # Language-learning platform · web + native iOS
drwxr-xr-x  moral-cut             # Next.js editorial product
-rw-r--r--  more...               # plenty more in the oven
julicq@github:~$ cat ./stack.txt
LANGUAGES        Python · Swift · TypeScript · SQL · Bash
AGENTIC          Claude Agent SDK · OpenAI Agents · LangGraph · CrewAI
                 MCP servers · tool-use loops · multi-agent orchestration
                 prompt caching · context engineering · evals
AI / ML          OpenAI · Anthropic · Gemini · LangChain · RAG · vector DBs
                 PyTorch · scikit-learn · pandas · numpy
BACKEND          FastAPI · SQLAlchemy 2.0 · Alembic · Jinja2 · Pydantic
                 Flask · Django · slowapi · aiosqlite
FRONTEND         Next.js · React · TypeScript · Tailwind · Vite
MOBILE           SwiftUI · SwiftData · Combine · TestFlight pipelines
DATABASES        PostgreSQL · SQLite · Redis · MongoDB
INFRA            Docker · docker compose · systemd · Nginx · Ubuntu
                 AWS · GCP · Azure · self-hosted VPS
TOOLING          Claude Code · Cursor · git · GitHub Actions · Postman
DESIGN           Figma · Blender · Photoshop · 3D / motion when it helps
julicq@github:~$ cat ./agentic-philosophy.md
# How I build with agents

  1. Agents > chatbots. A model that can read, plan, call tools and
     verify its own work beats a prettier prompt every time.
  2. Tools are the product. The agent is only as useful as the tools
     you give it — design them like APIs, not afterthoughts.
  3. Context is engineering. Caching, memory, retrieval and pruning
     are first-class concerns, not optimizations for "later".
  4. Loops, not one-shots. Real work happens in iterate→observe→correct
     cycles. Plan for self-recovery, not just happy paths.
  5. Evals or it didn't ship. If you can't measure agent quality,
     you're shipping vibes.
  6. Humans in the loop where it matters. Autonomy is a slider, not
     a switch — turn it up where the cost of a wrong action is low.
julicq@github:~$ tail -f ./now.log
[INFO ] building agentic workflows for audit, sales and education verticals
[INFO ] wiring MCP servers + custom tools into Pulsoric and internal stacks
[INFO ] shipping iOS apps with SwiftUI + SwiftData
[INFO ] deploying FastAPI services to bare-metal Ubuntu boxes
[INFO ] obsessed with prompt caching, agent loops and tool-use ergonomics
[INFO ] open to interesting AI / agentic / iOS collaborations
julicq@github:~$ contact --list

website email linkedin twitter stackoverflow kaggle

julicq@github:~$ git log --stats --since="forever"

followers stars language stack


> exit
Connection to julicq@github closed.
> _

Pinned Loading

  1. audio-transcriber audio-transcriber Public

    Audio Transcriber for several languages

    HTML

  2. PDF-RAG-Query PDF-RAG-Query Public

    RAG model for PDF database

    Python 1

  3. nexus-ocr nexus-ocr Public

    A CLI tool and WebApp to do OCR and extract text from a given scanned document image.

    Python

  4. tg_llamabot tg_llamabot Public

    Llama bot for Telegram

    Python 1

  5. TFM-Classifier TFM-Classifier Public

    LLM transformer Classifier with DistilBERT model

    Python

  6. Narrative-Structures-Analysis Narrative-Structures-Analysis Public

    Screenplays Analysis Tool

    Python