Not · only · web design

CARLO CEI

Automotive Systems · Solutions Engineering · AI

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01 / POSITIONING

Vehicles, data, software.

Electronic engineer working where physical systems meet code — battery intelligence, vehicle data, software validation.

02 / WORKFLOW

From customer needs to product.

From Battery signals, onboard processing, cloud pipelines, forecasting, validation, to products businesses and people actually use.

03 / TOOLKIT

Python · C++ · React · AI agents

Engineering depth with practical implementation. from customer needs to SaaS running in production.

SELECTED WORK

Five systems, from cell voltage to production SaaS.

01 · DATAKREW · BATTERY ANALYTICS

EV Battery State of Health Forecasting

A battery-health forecasting workflow built from real EV fleet telemetry: time-series features, LSTM forecasting, Bayesian uncertainty modelling, and physics-informed degradation logic. Built to estimate degradation from operational data instead of lab assumptions, feeding fleet monitoring, warranty analysis, and predictive maintenance.

~70 EVs analysed · validation MAE < 0.50%

  • Python
  • LSTM
  • Bayesian modelling
  • Physics-informed
  • Telemetry pipelines
EV Battery State of Health Forecasting system diagram

02 · DATAKREW · ALGORITHM ENGINEERING

Automotive Telemetry Compression

Signal-aware compression for high-frequency vehicle telemetry: preserving the peaks, transitions, and trends engineers actually need while cutting transmission, storage, and dashboard costs. Benchmarked LTTB, MinMax, PAA, RDP-style simplification, and event-aware reduction across real battery and vehicle signals.

Up to ~10,000× compression with meaningful signal preserved, light and efficient on board software

  • C++
  • Python
  • Signal processing
  • Time-series algorithms
Automotive Telemetry Compression system diagram

03 · AUTOMOTIVE SOFTWARE VALIDATION

Software-in-the-Loop Validation

Virtual validation of automotive software before HIL or vehicle testing — simulated vehicle, sensor, battery, and fault conditions. Test cases against expected behaviour, boundary conditions, fault injection, communication timeouts, and regression coverage after software changes.

Requirements-to-test traceability · fault-injection coverage

  • SIL
  • Fault injection
  • Boundary testing
  • Regression
  • Traceability
Software-in-the-Loop Validation system diagram

04 · FOUNDER · LIVE PRODUCT

Barber Booking & Management SaaS

A full-stack booking and operations platform for barbershops — appointments, services, staff schedules, customer records, and shop workflows. Designed the product structure, built frontend and backend, modelled the database, and deployed with Docker on a VPS.

Live product · ~250 users

  • React
  • Vite
  • Prisma
  • PostgreSQL
  • Docker
  • Oracle VPS
Barber Booking and Management SaaS dashboard screenshot

05 · CREATOR · AI SYSTEMS

Pi Agent — Persistent Second-Brain Agent

A persistent AI system built around continuity: cross-session memory, project context, research retrieval, troubleshooting history, and reusable task workflows. Designed the architecture, memory logic, and the rules for what gets retained, summarised, retrieved, or discarded.

SQLite retrieval · session archiving · reusable skills

  • Python
  • LLM workflows
  • SQLite
  • Memory systems
Pi Agent Persistent Second-Brain Agent system diagram

ALSO IN THE GARAGE

Battery Management Systems

Active BMS concepts, PCB design, embedded firmware, protection and balancing logic. Poema / Sardegna Ricerche.

Battery Data Research

Onboard battery-data processing and reduction strategies — embedded constraints vs cloud analytics. NTU Singapore.

Research Agent

AI workflows turning research questions into traceable outputs: sources, claims, evidence, limitations, confidence.

Document-Handling Agents

Schema-based extraction, classification, and comparison — PDFs into database-ready structured information.

Dynamic web design and web apps

Helping the customer define their needs and translating them into functional web solutions. To showcase, optimize ore increase the revenue.

Business Development analysis and AI strategy

Helping businesses understand how to leverage AI for strategic growth and operational efficiency. from concrete operational advantage discovery to full systemintegration.

ABOUT

Physical systems, software, and data — one pipeline.

Solutions engineer, and technical consultant. I am most effective where technical depth meets practical implementation: turning complex data, software requirements, or operational problems into systems people actually use.

VEHICLE & BATTERY SIGNALS → ONBOARD PROCESSING → CLOUD PIPELINES → ANALYTICS & FORECASTING → SOFTWARE VALIDATION → USABLE PRODUCTS

Automotive & Battery

EV telemetry, SOH forecasting, degradation modelling, telemetry compression, SIL validation, BMS, PCB & firmware.

Software, AI & Products

SaaS development, full-stack web apps, AI agents, persistent knowledge systems, research automation, cloud deployment.

Solutions Engineering

Technical discovery, workflow design, architecture, documentation, stakeholder communication, buildable systems.

EDUCATION

  • MSc Industrial Engineering & Management — KTH Royal Institute of Technology, Stockholm · 2022–2024
  • BSc Electronic Engineering — Politecnico di Torino · 2017–2020
  • Technical Diploma, Electrical & Electronics — ITI Tortolì · 2011–2016