Role: Fullstack Developer (team neusta | May 2023 – September 2023)
Objective: Create an IoT-driven system to track inventory levels in real time across warehouse zones.
Technologies & Implementation:
Hardware: Deployed Raspberry Pi 4 units with ultrasonic sensors (Python firmware) to measure stock levels. Data transmitted via MQTT to a central broker.
Frontend: Developed a dashboard using Vue.js with interactive heatmaps and inventory alerts. Integrated WebSocket for live updates.
Backend: Built REST APIs with Java/Quarkus for CRUD operations. Used Hibernate for ORM and Kafka to process sensor data streams.
Database: Stored inventory history in Cassandra for time-series data and transactional records in PostgreSQL.
Challenges & Solutions:
Sensor Accuracy: Calibrated sensors to account for environmental noise and implemented data averaging algorithms.
Real-Time Sync: Optimized Kafka consumer groups to handle 10,000+ messages per second with minimal lag.
Outcome: Reduced stock discrepancies by 75% and cut manual auditing hours by 60%.
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Created an IoT-driven system to track inventory levels in real time across warehouse zones.
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team neusta
Tags
Fullstack Engineer
Kafka
Python
Vue.js
Ahmed Yassine Morchid
AI Development & Web Solutions Expert
Client File Management Platform for Société Générale Assurance