I'm Jalalledin "Moji" Taavoni — freelance AI Integration Architect and Data Engineer based in Milano 🇮🇹.
I take AI from notebook demos to systems that run: reliably, observably, at the right cost, sometimes on the edge. The hard part isn't the model — it's the integration: stable orchestration, eval gates that fire before users notice, guardrails that hold, and inference that can run on a laptop when the cloud isn't an option.
const moji = {
role: ["AI Integration Architect", "Data Engineer", "DataOps Consultant"],
stack: ["Azure", "Databricks", "LangChain", "PromptFlow", "Foundry Local",
"SQL Server", "Synapse", "Fabric", "dbt", "Neo4j"],
philosophy: "Thoughtful before fancy.",
education: "Computer Science + Digital Humanities · Università di Pisa",
currently: "Building production LLM systems & agents on Azure",
open_to: "Freelance projects · IT and Remote EU",
reach: ["mojitmj.github.io", "linkedin.com/in/mojitmj", "t.me/mojitmj"],
};☁️ Cloud · Platform · DevOps
🧠 AI · ML · LLMs
💾 Data Engineering · DataOps
💻 Languages · Tools
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PowerShell tool that x-rays a SQL Server / Azure SQL instance in one command — full DDL, DMVs, backup history, security audit, design-quality checks, per-table data samples. Cross-platform schedulers (Task Scheduler · SQL Agent · SSIS · cron · systemd).
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GitHub Actions workflow for Azure Data Factory — JSON schema validation, hardcoded-secret scanning, Key Vault enforcement, trigger-state gates on every PR. Drop-in for any ADF estate.
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Digital-humanities side project: 175 years of Italian academies as a property graph in Neo4j, visualized in the browser with popoto.js. Where data engineering meets the archive.
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Live portfolio: dual-positioning landing page (AI / DataOps / DE / BI / DA), animated streaming-source boot, EN/IT toggle with Italian-flag theme, live chat overlay, full visitor metadata pipeline.
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From: 25 May 2026 - To: 01 June 2026
Total Time: 28 hrs 32 mins
PowerShell 6 hrs 15 mins █████░░░░░░░░░░░░░░░░░░░░ 19.93 %
Markdown 5 hrs 47 mins ████▓░░░░░░░░░░░░░░░░░░░░ 18.43 %
SQL 5 hrs 25 mins ████▒░░░░░░░░░░░░░░░░░░░░ 17.27 %
JSON 3 hrs 9 mins ██▓░░░░░░░░░░░░░░░░░░░░░░ 10.08 %
Batchfile 2 hrs 17 mins █▓░░░░░░░░░░░░░░░░░░░░░░░ 07.32 %
XML 1 hr 52 mins █▓░░░░░░░░░░░░░░░░░░░░░░░ 06.00 %
Python 1 hr 25 mins █░░░░░░░░░░░░░░░░░░░░░░░░ 04.54 %
- 🔒 Closed issue #1 in mojiTMJ/mojiTMJ
- [Stop flattening your typography tokens: Preserving bound aliases in W3C exports](https://dev.to/alexandersstudi/stop-flattening-your-typography-tokens-preserving-bound-aliases-in-w3c-exports-593n) Wed Jun 03 2026 4:32 PM- [AI Is Not Killing Developers. It’s Doing What We Always Did to Ourselves](https://dev.to/homolibere/ai-is-not-killing-developers-its-doing-what-we-always-did-to-ourselves-bm2) Wed Jun 03 2026 4:31 PM- [Road To KiwiEngine #8: Why I Built Seltzer Instead of Reaching for Another Framework](https://dev.to/stinklewinks/road-to-kiwiengine-8why-i-built-seltzer-instead-of-reaching-for-another-framework-282b) Wed Jun 03 2026 4:30 PM- [I paid $0.05 to analyze Notion's competitive position. Here's what an AI agent found in 1.2 seconds.](https://dev.to/trustboost/i-paid-005-to-analyze-notions-competitive-position-heres-what-an-ai-agent-found-in-12-seconds-16mp) Wed Jun 03 2026 4:28 PM- [Building an Advanced LangChain AI Workflow Automation with LangGraph](https://dev.to/gateofai/building-an-advanced-langchain-ai-workflow-automation-with-langgraph-345o) Wed Jun 03 2026 4:24 PM
- 🤖 Production AI — taking LLM demos / RAG / agent prototypes to systems that survive Tuesday morning
- 🛡️ AI evaluation & guardrails — golden sets, drift detection, regression gates, jailbreak hardening
- ⚡ Edge AI — Azure AI Foundry Local · ONNX · on-device LLMs for latency- or privacy-bound workloads
- 🏗️ DataOps / Data platform — lakehouse design on ADF + Databricks, CI/CD, governance, FinOps
- 🔧 SQL Server modernization — legacy → Azure SQL / MI / Fabric with replayable migrations
- 📊 BI / Power BI rescues — slow reports, wrong numbers, ungoverned sprawl
shipping: production AI integrations on Azure for SMB clients in IT/EU
building: sqlsnapshot v2 with Azure SQL DB + Fabric warehouse coverage
exploring: on-device LLMs (Phi-3, Llama-3) via Foundry Local + ONNX
reading: "Designing Data-Intensive Applications" (annual re-read)
learning: proper formal verification for AI agents
sipping: a long espresso ☕
"Pipelines should be like good plumbing — invisible, reliable, and someone else's problem when they break. I'm the someone else."
🟢🤍🔴 Fatto con espresso ☕ & 🍕 a Milano · Ciao mondo!