Skills PortfolioUpdated on 4 November 2026

Software Development Engineer Scientific & Industrial Applications

Fidel Rodrigues Monteiro

Python
C/C++
Scientific Software
Systems Integration
Applied AI

Lyon, France
Geographic mobility: Metropolitan France
Availability: Immediate

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01 Professional profile

Software engineer based in Lyon, developing Python and C/C++ solutions for experimental data processing, automation and technical systems.

My work at SuperGrid Institute, STMicroelectronics, Hyperion Seven and Akkodis connects scientific software, electronic simulation, embedded systems and software platforms. Artificial intelligence is one of my application domains.

The common thread of my assignments is industrialization: turning processing code or prototypes into reliable, automated tools: a scientific post-processing pipeline, CI/CD pipelines for models, a dataset management tool, automated simulation campaigns.

My recent education at EPSI focuses on computer science and information systems.

Location: Lyon, France
Experience: Since 2019 (internship included)
Languages: Portuguese (native), French (fluent), English (professional)
Geographic mobility: Metropolitan France
Availability: Immediate
Domains: Software Engineering, Scientific Software, Embedded Systems, DevOps & Cloud, Applied AI & MLOps, Computer Vision

02 Technical skills

Software Engineering

Python and C/C++ development, web platforms and APIs, databases, architecture design and industrialization of existing processing code.

Used professionally

Python: Akkodis · SuperGrid Institute · Hyperion Seven · STMicroelectronics (AI Engineer) · STMicroelectronics (Software Developer Intern)
C/C++: Hyperion Seven · SuperGrid Institute · STMicroelectronics (Software Developer Intern)
FastAPI: Akkodis (ADIAB) · SuperGrid Institute
Streamlit: Akkodis (OASIS)
SQLite: Akkodis (ADIAB)
Next.js: Akkodis (ADIAB)
Software architecture: Akkodis (OASIS)
TypeScript: Akkodis (ADIAB)
Tkinter: SuperGrid Institute
Flask: Hyperion Seven

Used in personal projects

Rust: Banzami
Go: Banzami
Next.js: Doa
Supabase: Doa
PostgreSQL: Doa

Target roles: Software Development Engineer, Backend Software Engineer, Embedded Software Engineer, Scientific Software Engineer, Industrial Software Engineer, R&D Software Engineer

Scientific Software

Experimental data post-processing, spectral analysis, calibration, and automation of simulations and tests.

Used professionally

Experimental data processing: SuperGrid Institute
Spectral analysis: SuperGrid Institute
Calibration: SuperGrid Institute
CMOS simulation: STMicroelectronics (Software Developer Intern)
Test automation: STMicroelectronics (Software Developer Intern)

Target roles: Scientific Software Engineer, R&D Software Engineer

Embedded Systems

Embedded C/C++ software on embedded Linux, CAN bus and UART links, hardware/software integration and field testing; hardware design (TPU/ASIC, FPGA).

Used professionally

C/C++: Hyperion Seven · SuperGrid Institute
Embedded Linux: Hyperion Seven
CAN: Hyperion Seven
UART: Hyperion Seven
Hardware/software integration: Hyperion Seven
TPU/ASIC: STMicroelectronics (AI Engineer)
FPGA: STMicroelectronics (AI Engineer)
ESP32: Hyperion Seven
LoRa: Hyperion Seven
Wi-Fi: Hyperion Seven
Arduino: Hyperion Seven · SuperGrid Institute
Raspberry Pi: Hyperion Seven

Target roles: Embedded Software Engineer, Industrial Software Engineer

DevOps & Cloud

CI/CD pipelines, containerization and Azure cloud for applications and AI models; Linux environments.

Used professionally

Docker: Akkodis
Azure: Akkodis (AQUA-IA)
GitHub Actions: Akkodis (AQUA-IA)
CI/CD: Akkodis (AQUA-IA)
Linux: Hyperion Seven
Git: SuperGrid Institute
GitHub: SuperGrid Institute

Used in personal projects

Vercel
Cloudflare
Jenkins: EPSI

Target roles: MLOps Engineer, Software Development Engineer, Backend Software Engineer

Applied AI & MLOps

Model integration, industrialization (CI/CD) and training-data tooling, with hardware-side experience in accelerating machine-learning computation.

Used professionally

Python: Akkodis · SuperGrid Institute · Hyperion Seven · STMicroelectronics (AI Engineer) · STMicroelectronics (Software Developer Intern)
TensorFlow: STMicroelectronics (AI Engineer)
MLOps: Akkodis
ML framework integration: STMicroelectronics (AI Engineer)
Dataset management: Akkodis (ADIAB)
LLM: Akkodis (OASIS)
PyTorch: Akkodis (AQUA-IA)

Used in personal projects

LLM: BANZA
RAG: BANZA
Qwen: BANZA
DeepSeek: BANZA

Target roles: AI Engineer, MLOps Engineer

Computer Vision

Image detection and classification models for monitoring aquatic species, and preparation of the related datasets.

Used professionally

YOLO: Akkodis (AQUA-IA)
OpenCV: Akkodis (AQUA-IA)
Image classification: Akkodis (AQUA-IA)

Target roles: AI Engineer

Other declared technologies

Technologies listed in my background, without detailed context in this portfolio.

SQL
PyQt
Qt
Flutter
MQTT
ROS
Kubernetes
Scikit-learn
MNIST

03 Professional experience

AI / MLOps Development Engineer · Akkodis

01/2026 – 08/2026

Context. Akkodis is an engineering and technology consulting company. The assignment covered two AI projects: OASIS, an AI-assisted optimization platform, and AQUA-IA, computer-vision models classifying aquatic macroinvertebrates.

Assignments

Optimize the OASIS engine and propose a new architecture.
Industrialize the AQUA-IA vision models with CI/CD pipelines.
Provide tooling for training-dataset management.

Technical contributions

Optimized the OASIS engine and proposed a new architecture. Used LLMs on the project (Python, Streamlit, LLM).
Built the CI/CD pipelines of the AQUA-IA models (GitHub Actions, Docker, Azure).
Developed ADIAB (AquaIA Dataset Builder), an internal tool for building, validating and exporting datasets (Python, FastAPI, Next.js, TypeScript, SQLite, Docker).

Deliverables

Optimized OASIS engine and architecture proposal.
CI/CD pipelines for the AQUA-IA models.
ADIAB internal tool.

Technologies and tools

LLM
Python
YOLO
PyTorch
OpenCV
Streamlit
FastAPI
Next.js
TypeScript
SQLite
Docker
Azure
GitHub Actions
MLOps

Skills applied

Applied AI & MLOps, Computer Vision, Software Engineering, DevOps & Cloud

Software Development Engineer · SuperGrid Institute

03/2025 – 12/2025

Context. SuperGrid Institute is a research institute dedicated to power transmission grid technologies. The project concerned the scientific post-processing of high-voltage electric arc tests.

Assignments

Rebuild and industrialize the test post-processing pipeline.
Automate experimental data processing.

Technical contributions

Rewrote the existing scientific processing in Python and industrialized the post-processing pipeline.
Automated spectral extraction and calibration of experimental measurements.
Developed the associated tools with FastAPI and Tkinter.
Developed test bench motor control with Arduino, C++ and Python.

Deliverables

Industrialized post-processing pipeline.
Automated spectral extraction and calibration.

Technologies and tools

Python
C++
Arduino
Git
GitHub
FastAPI
Tkinter

Skills applied

Scientific Software, Software Engineering

Embedded Systems Engineer · Hyperion Seven

10/2022 – 10/2024

Context. Development of a secure tethered drone: embedded systems, communications and validation, in line with the safety requirements of the DGAC (French Civil Aviation Authority).

Assignments

Develop the drone's embedded systems.
Develop the on-board communications.
Validate the system in real conditions.

Technical contributions

Developed the embedded software in C/C++ on embedded Linux.
Implemented communications over CAN bus and UART links.
Hardware/software integration.
Field testing and compliance with DGAC safety requirements.
Implemented the LoRa protocol in Python to replace the Wi-Fi link between the drone and its controller. Developed joystick control of the gimbal in C++.

Deliverables

Embedded software and communications of the tethered drone.
Field test campaigns.

Technologies and tools

Python
Flask
C/C++
Embedded Linux
CAN
UART
Arduino
Raspberry Pi
ESP32
LoRa
Wi-Fi

Skills applied

Embedded Systems, Software Engineering

AI Engineer · STMicroelectronics

10/2019 – 09/2022

Context. STMicroelectronics is a global semiconductor manufacturer. The role covered the design of a hardware accelerator dedicated to artificial intelligence.

Assignments

Design an AI hardware accelerator.
Design the software interfaces integrating it with ML frameworks.

Technical contributions

Designed an AI accelerator based on a TPU/ASIC architecture, targeting machine-learning compute performance.
Designed the software interfaces integrating the accelerator with ML frameworks (Python, TensorFlow).
Working environment including ASIC and FPGA.

Deliverables

Software interfaces integrating the accelerator with ML frameworks.

Technologies and tools

Python
TensorFlow
ASIC
FPGA

Skills applied

Applied AI & MLOps, Embedded Systems, Scientific Software

Software Developer Intern · STMicroelectronics

04/2019 – 09/2019

Context. Performance validation of CMOS circuits through electronic simulation campaigns.

Assignments

Automate the electronic simulation campaigns.

Technical contributions

Developed Python and C tools automating the simulation campaigns.
Sped up and hardened the CMOS test and validation process.

Deliverables

Simulation automation tools.

Technologies and tools

C
Python
Test
Automation

Skills applied

Scientific Software, Software Engineering

04 Technical achievements

Achievements are described at each project's public level; no confidential employer information is disclosed.

Post-processing of high-voltage arc tests

Objective: Make the processing of high-voltage arc test measurements reliable and automated.
Approach: Rewrite of the existing processing in Python and industrialization of the pipeline; automated spectral extraction and calibration.
Contribution: Rewrite, industrialization and automation.
Outcome: Industrialized post-processing pipeline.

Python
C++
Arduino
Git
GitHub
FastAPI
Tkinter

Embedded systems of a secure tethered drone

Related experience: Embedded Systems Engineer · Hyperion Seven

Objective: Develop the embedded systems and communications of a tethered drone meeting DGAC safety requirements.
Approach: Embedded C/C++ software on embedded Linux, CAN and UART communications, hardware/software integration validated by field tests.
Contribution: Embedded development, communications, integration and testing.
Outcome: Drone embedded software and communications, validated in field tests.

C/C++
Embedded Linux
CAN
UART

Development of a drone radio communication link

Related experience: Embedded Systems Engineer · Hyperion Seven

Objective: Replace the Wi-Fi link between the drone and its controller with LoRa.
Approach: Developed and integrated the LoRa radio link using Arduino, Raspberry Pi and ESP32.
Contribution: Implemented the LoRa communication protocol.
Outcome: Development and integration work; final deployment and radio performance are not documented.

Python
Arduino
Raspberry Pi
ESP32
LoRa
Wi-Fi

AI hardware accelerator (TPU/ASIC)

Related experience: AI Engineer · STMicroelectronics

Objective: Accelerate machine-learning computation with a dedicated hardware accelerator.
Approach: Hardware design (TPU/ASIC architecture) and software design (integration interfaces with ML frameworks).
Contribution: Design of the accelerator and its software interfaces.
Outcome: Software interfaces integrating the accelerator with ML frameworks.

Python
TensorFlow
ASIC
FPGA

OASIS: AI-assisted optimization platform

Related experience: AI / MLOps Development Engineer · Akkodis

Objective: Provide an optimization platform combining AI models and advanced algorithms.
Approach: Optimized the existing engine using Python, Streamlit and LLMs. Proposed a new architecture.
Contribution: Optimize the engine and propose a new architecture.
Outcome: Optimized engine and architecture proposal.

Python
Streamlit
LLM

AQUA-IA: macroinvertebrate classification

Related experience: AI / MLOps Development Engineer · Akkodis

Objective: Classify and monitor aquatic macroinvertebrate species with computer vision.
Approach: Industrialization of the vision models through CI/CD pipelines.
Contribution: Built the models' CI/CD pipelines.
Outcome: AQUA-IA models integrated into a CI/CD chain.

Python
PyTorch
OpenCV
YOLO
Docker
GitHub Actions
Azure

ADIAB: AquaIA Dataset Builder

Related experience: AI / MLOps Development Engineer · Akkodis

Objective: Build, validate and export the training datasets of the AQUA-IA models.
Approach: Internal application dedicated to dataset management, backed by a database.
Contribution: Developed the tool.
Outcome: Internal dataset management tool.

Python
FastAPI
Next.js
TypeScript
SQLite
Docker

05 Personal projects

Projects carried out outside my professional assignments, on a personal basis. They demonstrate complementary technical skills and are not salaried experience.

Banzami · Wallet-native payment network

Personal project · banzami.com

Overview: Wallet-native payment network designed for Angola and as the first operator on the open BANZA protocol: instant Kwanza payments via wallets, QR codes, payment links and SDKs.
Problem addressed: Payments still rely on manual transfers, cash and screenshots as proof of payment.
Architecture and approach: Network built around wallets, QR codes, payment links and SDKs; designed as the first operator on the open BANZA protocol.
Contribution: Design and development (personal project).

Rust
Go

BANZA · Open financial protocol

Personal project · banza.network

Overview: Open financial protocol for interoperable payments: public rules, contracts, certification criteria, federation and financial invariants.
Problem addressed: Let independent payment operators interoperate under shared, verifiable rules.
Architecture and approach: Protocol specification: public rules, contracts, certification criteria, federation and financial invariants; conformance demonstrated through deterministic testing.
Contribution: Design and development (personal project).

LLM
RAG
Qwen
DeepSeek

Doa · Crowdfunding platform

Personal project · doadoa.app

Overview: Crowdfunding platform for Angola and African markets: designed so donors can pay without an account and owners can share campaigns on WhatsApp, TikTok and Instagram.
Problem addressed: Enable simple fundraising for Angola and African markets, without a donor account.
Architecture and approach: Mobile-first platform: donations without an account, campaign sharing on WhatsApp, TikTok and Instagram, PDF receipts, Portuguese interface and Banzami payments for AOA campaigns.
Contribution: Design and development (personal project).

Next.js
Supabase
PostgreSQL

06 Education and languages

2024Master Expert en informatique et système d'information, EPSI, École d'ingénierie informatique
2022Bachelor Concepteur Développeur d'Applications / DevOps, EPSI, École d'ingénierie informatique
2020Master Instrumentation, mesure, métrologie, Aix-Marseille Université

Titles as presented by the institutions.

Portuguese: Native
French: Fluent
English: Professional

07 Contact

Available to discuss scientific software, industrial software and R&D development roles.

Phone: +33 6 21 47 09 49
E-mail: contact@fidelmonteiro.com
Portfolio: www.fidelmonteiro.com
LinkedIn: linkedin.com/in/fidel-monteiro-0275a3305
GitHub: github.com/fm65