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: 16 May 2026 - To: 23 May 2026
Total Time: 14 hrs 48 mins
JSON 10 hrs 6 mins ██████████████▒░░░░░░░░░░ 56.95 %
Markdown 2 hrs 59 mins ████▒░░░░░░░░░░░░░░░░░░░░ 16.89 %
PowerShell 1 hr 16 mins █▓░░░░░░░░░░░░░░░░░░░░░░░ 07.20 %
Text 14 mins ▒░░░░░░░░░░░░░░░░░░░░░░░░ 01.36 %
JavaScript 9 mins ▒░░░░░░░░░░░░░░░░░░░░░░░░ 00.92 %
YAML 1 min ░░░░░░░░░░░░░░░░░░░░░░░░░ 00.11 %
- 🔒 Closed issue #1 in mojiTMJ/mojiTMJ
- [Deep Atlantic Storage: Rewriting in Rust](https://dev.to/yoursunny/deep-atlantic-storage-rewriting-in-rust-49hp) Mon May 25 2026 4:00 AM- [How I Built a Bulk Image Optimizer with $0 Server Costs Using Vanilla JS and Canvas API](https://dev.to/arsuya/how-i-built-a-bulk-image-optimizer-with-0-server-costs-using-vanilla-js-and-canvas-api-41dk) Mon May 25 2026 3:58 AM- [Humans and Machines read differently, I think I have a fix?](https://dev.to/8arrony/humans-and-machines-read-differently-i-think-i-have-a-fix-31ep) Mon May 25 2026 3:58 AM- [Claude Code Deleted 92 Images Without Asking. This Happens More Than You Think.](https://dev.to/boucle2026/claude-code-deleted-92-images-without-asking-this-happens-more-than-you-think-4alj) Mon May 25 2026 3:54 AM- [Method Calling Stack in Java](https://dev.to/buddika_b/method-calling-stack-in-java-25fd) Mon May 25 2026 3:53 AM
- 🤖 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!