Operations, Data & Automation builder focused on local-first systems, dashboards, workflow automation and knowledge-management tools.

I build practical digital systems that turn scattered information, goals and workflows into structured execution.

My current portfolio is focused on four areas:

• Operations systems — tools for tracking work, applications, follow-ups, documents and KPIs.
• Data & dashboards — structured reporting, progress tracking and measurable workflows.
• Knowledge systems — document organisation, evidence mapping and source-first reasoning.
• Local-first applications — privacy-conscious tools that run locally and keep user data under control.

Evidence-based application intelligence demo for UN-style programme support and knowledge-management workflows.

The system turns a UN-style vacancy into structured requirements, maps each requirement to verifiable evidence, exposes gaps, generates checklists and produces a human-review brief.

Core ideas: evidence mapping, requirement extraction, local-first workflow, no-source-no-claim discipline.

Relevant for: Programme Support, Knowledge Management, Data/Reporting Support, Operations Support.

Local-first desktop dashboard for managing job applications, CV versions, public tenders, target companies, contacts, portfolio projects, follow-ups, weekly reviews and career KPIs.

Core ideas: job-search operations, KPI tracking, document management, follow-up discipline, local SQLite storage.

Relevant for: Product Operations, SaaS Support Operations, Data/BI, RevOps, Workflow Automation.

Goal-centric productivity system for planning, time blocking, habits, analytics and measurable execution.

The project is built around a simple principle: goals become useful only when they are translated into projects, tasks, routines, time blocks and weekly review cycles.

Core ideas: personal execution, goal tracking, habits, analytics dashboards, AI-assisted planning logic.

Performance-training system for chess calculation, tactics, PGN study, blindfold training and measurable improvement workflows.

Core ideas: structured training, spaced repetition, performance tracking, visualisation practice, domain-specific learning workflows.

Frontend: React, Next.js, TypeScript, Tailwind CSS Desktop: Tauri, SQLite, local-first architecture Data & Dashboards: Python, SQL basics, Recharts, CSV/JSON workflows Automation & AI Workflows: OpenAI API basics, Whisper ASR, structured summarisation, evidence-based workflows Product Thinking: requirements, user flows, dashboards, documentation, quality gates

• Every claim should be tied to evidence.
• Dashboards should measure real behaviour, not vague intention.
• Tools should reduce chaos and create operational clarity.
• Local-first systems are valuable when privacy and ownership matter.
• Good software is not just code: it is workflow, structure, documentation and trust.

Operations · Data/BI · Automation · SaaS Support · Knowledge Management · Local-first apps · Programme Support · Product Operations

• LinkedIn: linkedin.com/in/francesco-puglia-5847a0250
• GitHub: github.com/FrancescoPuglia