OTMAN MOUHIB

Led end-to-end delivery of IoT/Smart Farm data projects; designed automated data collection and integration workflows. Gathered requirements for data pipelines connecting sensor networks with backend databases and reporting tools. Managed Agile backlog, prioritizing data integration, quality, and availability for client operations.

Gathered business requirements and delivered data integration improvements across SQL-based production systems. Managed database operations and reporting, ensuring data accuracy and availability for production users. Led UAT sessions and data validation, reducing defect resolution time by 30%.

Trained RNN models on medical image datasets; performed data preparation and evaluation.

Developed predictive AI models to estimate instruction throughput and memory interference in ARM Cortex-A53 multicore systems
Implemented low-level C++ instrumentation using Performance Monitoring Units (PMUs) under Linux
Designed modular benchmarking pipelines simulating robotic and parallel workloads for real-time system analysis
Trained Python-based machine learning models to predict contention

Led the robotics club team and mentored members in embedded systems, AI, and robotic design for national competitions
Organized and delivered hands-on training in real-time image processing, autonomous control, and robotic arm coordination
Supervised the design and integration of an autonomous mobile robot equipped with a robotic arm and AI-based vision
Directed the internal staff and coordinated

As a private tech coach, I specialize in providing personalized guidance to help individuals navigate and master the latest in technology. From programming essentials to enhancing digital skills, I tailor each session to empower clients with the knowledge and confidence to excel in the digital age.

Built LLM anonymization pipeline; ranked top 3 among 20+ teams.

Built a local AI pipeline using OCR and NLP to extract structured data from noisy or handwritten scanned documents
Implemented on-premise Named Entity Recognition (NER), custom parsing, and automated preprocessing modules
Developed a secure internal web interface for users to interact with AI-generated results, simulating operator-assistive robotic work-
flows
Optimized the solution for edge priva

Designed a real-time LLM input anonymization pipeline using Named Entity Recognition (NER), pattern matching, and contextual
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Focused on AI-augmented user input sanitization, relevant to secure chatbot and operator-assistive applications
Benchmarked system performance under competition conditions; validated feasibility of edge deployment
Ranked top 3 out of 50+ international teams, demons

Built real-time data pipelines for object detection and tracking, processing video streams. Optimized data flow for edge deployment, ensuring low-latency data processing. Coordinated with client to define data requirements and deployment.

Built modular command-line pipelines in Bash and Python for developing and evaluating computer vision models
Integrated YOLOv8 for real-time forest fire detection from camera feeds, simulating industrial visual inspection tasks
Optimized full CV workflow (data prep, training, inference) for robust, resource-efficient edge deployment
Applied vision models in constrained environments, aligned with e

Developed a smart irrigation system using ESP32 and LoRa for low-power, long-range data transmission across distributed field
nodes
Integrated soil moisture and temperature sensors with autonomous logic to control irrigation actuators in real time
Implemented robust LoRa communication architectures (point-to-point and star) for reliable edge-to-central data flow
Designed a backend dashboard for re

Organized technical workshops, hackathons, and inter-university training sessions focused on robotics, AI, and embedded systems
Facilitated peer collaboration on hands-on projects under time and resource constraints, simulating real-world engineering challenges
Promoted extracurricular R&D engagement and acted as liaison between students and faculty for technical innovation support
Developed leade

Collected and processed sensor data from wireless nodes using MQTT and LoRa. Built backend dashboard for monitoring and analytics, enabling data-driven decisions. Ensured data availability and quality for client operations.

Participated in embedded system design for autonomous mobile robots in national robotics competitions
Developed real-time logic strategies and control sequences for robotic actuation and task execution
Worked with microcontrollers, sensors, and actuators to build functional robotic prototypes
Collaborated in team-based design and testing cycles, simulating real-world robotic development under cons

Designed and developed a web application (Stock App) for inventory management using industrial barcode scanners
Automated component tracking on the production floor with real-time scan-based updates to ensure accurate logistics data
Provided support for internal IT tools and assisted with diagnostics and production system improvements
Built user interfaces to improve system usability for non-techn

Developed web application integrated with barcode scanners, capturing real-time inventory data. Managed database operations and reporting, ensuring data accuracy and reliability. Provided IT support and diagnostics for production data systems.

it my please to be an intern in such a great company in automotive industry !

Issued Sep 2026 · Expires Sep 2027

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