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
|
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).
|
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.
|
|
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.
|
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.
|
From: 21 May 2026 - To: 28 May 2026
Total Time: 45 hrs 44 mins
JSON 10 hrs 13 mins █████▒░░░░░░░░░░░░░░░░░░░ 21.64 %
JavaScript 9 hrs 39 mins █████░░░░░░░░░░░░░░░░░░░░ 20.43 %
SQL 8 hrs 58 mins ████▓░░░░░░░░░░░░░░░░░░░░ 19.02 %
PowerShell 6 hrs 29 mins ███▒░░░░░░░░░░░░░░░░░░░░░ 13.74 %
Markdown 6 hrs 18 mins ███▒░░░░░░░░░░░░░░░░░░░░░ 13.37 %
C# 1 hr 22 mins ▓░░░░░░░░░░░░░░░░░░░░░░░░ 02.91 %
Batchfile 1 hr 10 mins ▓░░░░░░░░░░░░░░░░░░░░░░░░ 02.47 %
- 🔒 Closed issue #1 in mojiTMJ/mojiTMJ
- [OpenAI Codex vs Google Antigravity: Architecture, Workflow, and Key Differences](https://dev.to/poniak-labs/openai-codex-vs-google-antigravity-architecture-workflow-and-key-differences-1b1l) Sat May 30 2026 3:32 AM- [SecAPI: Secure, AI-Driven API Key Management & Leak Prevention](https://dev.to/binayak_jha/secapi-secure-ai-driven-api-key-management-leak-prevention-2o13) Sat May 30 2026 3:32 AM- [Tauri Sandbox Permissions — Why Your Command Silently Does Nothing](https://dev.to/hiyoyok/tauri-sandbox-permissions-why-your-command-silently-does-nothing-hcn) Sat May 30 2026 3:29 AM- [SQL Pattern Series #1: The Presence Pattern](https://dev.to/baldwin_apps/sql-pattern-series-1-the-presence-pattern-a5f) Sat May 30 2026 3:26 AM- [You'll not be replaced by AI if ...](https://dev.to/fm/youll-not-be-replaced-by-ai-if--5c1) Sat May 30 2026 3:23 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!