Thomas Sajus, Software Engineer

sector_best.sql

SELECT driver_number, sector,
       MIN(lap_duration) AS best
FROM   car_telemetry
WHERE  session_key = 9574
GROUP BY driver_number, sector;

ingest.py

async def ingest(key: int):
    rows = await openf1.car_data(key)
    influx.write(
        bucket="telemetry",
        record=to_points(rows),
    )

git log --oneline

a3f2c1b  feat: sector delta rollup
8d9e4f2  fix: CAN timestamp drift
1bc78a3  perf: ingest latency -48ms

Software Engineer · Bordeaux, FR

THOMAS SAJUS

Constructor

CGI France

Academy

ENSEIRB-MATMECA

GitHub

TheRevGodish

sajus-thomas

Junior Software Engineer in a co-op program, actively seeking a 3-month engineering internship abroad as part of my engineering studies. Two years of hands-on experience in backend development, data pipelines, and application migration. Proficient in Java technologies and in designing data-processing systems with Python and modern data tooling, with a strong interest in real-time data systems and motorsport telemetry. Comfortable owning projects end-to-end, from design to production deployment.

THOMAS RADIO

Experience

Education

2025 → 2028

Software Engineer (co-op)

CGI · Bordeaux

Migrated 20+ custom Java/OSGi modules from Liferay DXP 7.2 to 7.4, adapting themes, JSPs and service APIs. Also maintain a customer-facing service portal, including a PHP 5 → PHP 8 backend evolution.

Stack Liferay DXP Java OSGi PostgreSQL Jenkins Docker

2025 → 2028

M.Eng. Networks & Systems

ENSEIRB-MATMECA · Bordeaux

Three-year engineering degree run as a co-op program, alternating study periods at school with work periods at CGI.

Modules Python Databases & SQL Networks Cybersecurity C & Assembly UNIX / Linux System Administration

Jun → Aug 2025

Software Engineer (internship)

DSI France Travail · Bordeaux

Built a backfill pipeline reprocessing large volumes of historical data: event-driven ingestion with Kafka, business logic in Java, persistence through Hibernate.

Stack Java Quarkus Kafka Hibernate PostgreSQL

2024 → 2025

General Computer Science

CNAM · Bordeaux

Undergraduate computer science taken in evening classes, on top of full-time work: the year that turned a career change into an engineering track.

Modules Algorithms & Data Structures Java Information Systems

2016 → 2018

Electronics & Railway Safety Engineer

SNCF · Le Mans

Managed maintenance and development projects for safety-critical systems across a regional railway network, from requirements through to delivery.

Focus Safety-critical systems Project management

2016 → 2018

Electronics & Railway Safety Systems

CNAM · Paris

Engineering studies taken alongside the SNCF work-study program, in a regulated and safety-critical environment.

Modules Signal Processing C Control Systems

3 months

Software Engineer (internship)

INRA · Bordeaux

Built an Arduino-driven chemical analysis rig with its own HMI and real-time sensor acquisition, working in English within a team of PhD students.

Stack Visual Basic C++ Arduino

Languages

1Java · JEE

LEADER

2Python

+0.2s

3SQL

+0.4s

4C · Assembly

+0.6s

6Shell · Bash

+1.1s

7JavaScript · HTML

+1.3s

Frameworks & Libraries

1Spring Boot

LEADER

2Quarkus

+0.2s

3Pandas

+0.4s

4FastAPI

+0.6s

5Spring Batch

+0.9s

6Liferay DXP

+1.1s

Data & Streaming

1Apache Kafka

LEADER

2PostgreSQL

+0.2s

3InfluxDB

+0.4s

4Grafana

+0.6s

5MySQL

+0.9s

DevOps & Tooling

1Git · SVN

LEADER

2Containerization · Docker

+0.2s

3CI/CD · Jenkins

+0.4s

4Maven

+0.6s

Systems & Networks

1Linux

LEADER

2Windows

+0.2s

4System Admin

+0.6s

Soft Skills

1Creativity

LEADER

2Adaptability

+0.2s

3Proactivity

+0.4s

4Communication

+0.6s

5Teamworking

+0.9s

// data engineering · ongoing personal project

F1 Real-Time
Telemetry Replay

Repository ↗

An end-to-end pipeline that replays a Formula 1 session as if it were happening live. Live timing and car telemetry are ingested from the OpenF1 API through a FastAPI backend, written as time-series into InfluxDB, then streamed back onto Grafana dashboards: speed, throttle, gear and sector deltas, lap after lap.

The whole stack is containerised with Docker for reproducible deployment.

OpenF1 API Python FastAPI InfluxDB Grafana Docker Time-series Telemetry

CH 01 Trackmap replay Shanghai · Chinese GP

CH 02 Telemetry dashboard Grafana · InfluxDB

FORMER PROFESSIONAL DRUMMER, PRODUCER & TEACHER

Six years of training at the Bordeaux National Music Conservatory, then studio recording and producing for several bands across genres (Fhorce, Pas De Vague). More than 250 live performances, from the Grand Rex to European summer festivals, plus years teaching drums to students of every level. Years on stage built what I still rely on at work: discipline, precise timing and composure under pressure.

Fhorce Pas De Vague

MOTORSPORT ENTHUSIAST

Competitive karting, and a long-running fascination for the engineering behind a race weekend : strategy, tyre degradation, and above all the wall of data a car generates every lap. That is exactly what the F1 telemetry replay pipeline above is about.

ASTRONOMY & PHOTOGRAPHY

I love taking my canon 5D everywhere I am going to capture landscapes beauty, as well as day and night sky.

F1 Real-TimeTelemetry Replay

F1 Real-Time
Telemetry Replay