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Youssef KBALA

IoT Engineer

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About Me

Freshly graduated Data engineer passionate about IoT and Digtal Twins technologies. Currently seeking a new opportunity to gain practical experience and apply my skills in real-world scenarios. Highly motivated to learn and contribute to innovative projects, with a strong interest in adapting to new environments and work cultures.

Experience

Harmony Technology

Internship: Digitalization & IIoT Engineer

Developed IoT systems for inventory and stock management, increasing process efficiency and product traceability.

• Tools: Apache Kafka, MERN, RFID, Design Thinking, Risk Management, System Design

OCP Group

Internship: Data Engineer

Developed a production prediction model using time series to optimize the planning of production and phosphate storage.

• Tools: CRISP-DM, LSTM, Python, Flask, Time Series analysis.

JackJoud Labs

Internship: RL for Quadruped Robots

Implemented the PPO algorithm to improve the stability and movement of quadruped robots, integrating Lidar sensors for navigation.

• Tools: RL, OpenAI Gym, Python, Lidar.

ADI Solar Energy

Internship: Smart Farming Transformation

Deployed IoT-based solutions for smart agriculture, enhancing security and efficiency.

• Tools: Raspberry Pi, Python, RTOS, Soil Sensors, IP Camera.

Education

National Institute of Posts and Telecoms - Rabat

Sep 2022 - Jul 2024

Engineering Degree in Data Engineering

Faculty of Sciences - Fez

Sep 2021 - Jul 2022

Bachelor’s Degree in Electronics and Industrial Systems

Higher School of Technology EST - Fez

Sep 2019 - Jul 2021

Associate degree (DUT) in Embedded Systems

Projects

Seismic Victim Rescue Robot

Developed a Raspberry pi 4 based Mobile robot for exploration and victim detection, featuring real-time data streaming, thermal detection and integrated controllable camera, location, orientation and gaz sensors. Communicated to a base receiver (Raspberry pi zero) through nRF technology.

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RL for Quadruped Robot Stability - JakJoud Labs

Utilized and implemented the reinforcement learning Proximal Policy Optimization (PPO) algorithm to enhance the balance and mobility of quadruped robots within the OpenAI Gym Bipedal Walker environment, resulting in significantly improved stability, ensuring smoother movement and balance.

Confidential code base

Production Prediction - OCP Group

Developed a production prediction model for OCP's key mining stations to optimize phosphate storage planning, reduce production downtime, and achieve operational efficiency using LSTM, CRISP-DM, time series analysis, Python and Flask.

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Precision Agriculture project

Developed an automated precision agriculture system based on raspberry pi that controls a servo motor through Flask interface to optimize irrigation and nutrient distribution in agricultural fields. The system uses a slider-crank mechanism to rotate a distribution plate beneath an irrigation device mounted on a tractor.

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12 DOF Quadruped Robot

Designed and constructed a stable, spider-like four-legged robot using Raspberry Pi. Control is facilitated through a user-friendly desktop application with a Pygame GUI, and the I2C communication protocol to control 12 servo motors via Adafruit PCA9685 extension. achieving stable robot gait and movement.

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Skills

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