Why Work With Me
Practical software with less friction—clear scope, fast cycles, zero meeting overhead
Backend-led delivery
Java/Spring Boot APIs, integrations, and operational backends for internal tools your team relies on—not generic “build anything” engagements.
Speed with judgment
20+ years of engineering plus AI where it accelerates analysis and delivery—always reviewed by me so quality and trade-offs stay explicit.
Clear scope & lean phases
Tight, written scope and short implementation phases so you see value quickly—with less uncertainty and no endless back-and-forth.
Federico Boga
Systems engineer · Java/Spring Boot
linkedin.com/in/federico-boga-java
federicoboga@hotmail.com
Core Expertise
JAVA 90%About Me
I'm a systems engineer with 20+ years building software, strongest on Java/Spring Boot backends, APIs, automation, and applied AI where it actually removes work. I focus on small, practical systems—internal tools, integrations, and operational workflows—not open-ended “we build anything” engagements.
I combine deep hands-on engineering with AI where it speeds analysis and delivery. AI never replaces judgment: I review architecture, edge cases, and quality—especially for production boundaries, security, and maintainability.
My default way of working is fully async with no meetings and no discovery calls. You share context in writing; I respond with clear plans and phased options. That reduces calendar friction, preserves a written trail, and keeps scope honest—whether you are a founder or an operator who needs something shipped without a traditional agency cadence.
Services
Internal tools, automations, and focused builds—Java/Spring Boot at the core
Internal tools & operational software
Dashboards, admin workflows, and small operational systems your team uses every day—scoped deliberately, not open-ended “custom everything.”
Automation & integrations
Connect systems, queues, spreadsheets, and APIs to remove manual steps—reliable Spring Boot services and clear boundaries between tools.
Lean implementation phases
A useful first version, then expand in short phases. Controlled backlog, written acceptance, and predictable delivery—ideal when you want momentum without a multi-year programme.
How I Work
Fully async — no meetings, no discovery calls.
You describe the problem in writing. I review it personally and reply with a practical implementation plan: phased scope, timeline, and estimate—usually within about 48 hours on business days.
🎯 Three straightforward steps
- Async intake (~5 minutes) — Use the chat widget (bottom right) or WhatsApp. Guided questions capture goals, constraints, and systems involved. No Zoom, no calendar Tetris.
- Personal review (typically within ~48 hours) — I read your answers end-to-end and apply 20+ years of engineering judgment. No generic, AI-only proposals.
- Written plan, then build if it’s a fit — You receive a clear implementation plan with phased scope, timeline, and estimate. If we proceed, work starts against an agreed deposit and backlog.
Decisions stay crisp, context stays written, and your week stays intact. The goal is momentum and clarity—not more slide decks.
The written plan outlines scope and phases up front. If you approve a proposal, delivery follows the agreed backlog—predictable and easy to follow.
💬 Start the async briefing
Web chat (recommended)
Use the chat widget at the bottom right. It walks you through the same questions I need to understand scope—fully in writing.
Prefer WhatsApp? Same guided briefing as the web chat—questions in writing, no calls.
Chat on WhatsApp
"Describe what you need in writing. I review it personally and send back a practical plan—phased scope, timeline, and estimate—without a single meeting. If the fit is mutual, we ship in lean cycles."
— Federico Boga
Real Projects, Real Impact
Example of a production Java/Spring Boot + AI pipeline at scale—operational data, not slide-ware
🤖 AI-Powered Conversation Intelligence Platform — Ongoing & Growing
The Situation: A large contact center operation was sitting on thousands of daily recorded conversations — stored as raw audio files with zero processing. No insights, no quality control at scale, no way to systematically evaluate agent performance. They needed to enter the AI era and unlock the value hidden in their data.
What I Did: I took ownership of the backend architecture and development. Built a complete AI processing pipeline integrating Deepgram for audio-to-text transcription, ChatGPT and Gemini for intelligent analysis — including automatic conversation summaries, customer sentiment detection, agent behavior evaluation (friendliness, professionalism, sales closing ability), advanced keyword and phrase detection with wildcard pattern matching, and a fully automated interaction scoring system. All built with Java and Spring Boot on SQL Server.
The Outcome: Raw audio files that used to sit completely untouched are now transformed into actionable business intelligence. Quality assurance went from manual spot-checks to 100% automated coverage across every single interaction. The platform is actively growing with new AI features being added continuously — I've been on this project for over a year and it keeps expanding.
Exploring a lean internal tool or automation?
Use the async briefing to outline what you need. I’ll reply with a clear, phased plan—no meetings required.
Professional Track Record
Alongside focused client work, I’ve shipped complex systems inside world-class engineering teams—evidence of depth when stakes are high.
Enterprise Team Projects Delivered as part of a leading global IT consultancy's engineering team
Want the same engineering discipline on a lean scope?
Start with the async briefing—internal tools, automations, and integrations delivered without a meeting-heavy model.
Guides & process
Short reads on scoping internal tools, integrations, and async delivery—not only for “classic” startups
GUIDE
The 5 Things to Define Before You Brief an Internal Build (or Hire Help)
What to prepare so async briefings and estimates stay accurate, scope stays tight, and rework drops—before you invest in a tool, automation, or build.
DECISION
Custom Backend vs No-Code: Spine for an Internal Tool or Ops Workflow
When spreadsheets or no-code are enough—and when a focused Spring Boot backend earns its keep for automations, integrations, and reliability.
PROCESS
From Written Brief to Working Software—Async, in Short Phases
After you describe what you need: how delivery is sequenced, what “done” looks like per phase, and how momentum stays high without meetings as the default.