Mohamed Hosam Ibrahim

Full-time Learner | "Passionate about building things, and scale it ... to make human's life better every day"

Digitalisation and Industry 4.0 Enthusiast

Technical Project Manager (Manufacturing)

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Projects

Products Value Realisation using Big Data Technologies (Industry 4.0)

๐Ÿ“œ Scope: Building Kafka clusters (Brokers) with multiple Producers & Consumers (Pub/Sub architecture), to stream customers' comments from multiple Social Media platforms in real-time. Then apply sentiment analysis ML algorithms in a Spark cluster to aggregate the results and get a reflection of their opinion. In addition to forming a unified Data lake. The results were represented on a Grafana Dashboard.

๐Ÿ’ป Technology: Apache Kafka, Spark, Spark Streaming, NoSQL Database, APIs, JDBC. Coding (Java & Scala), OS (Linux).

๐Ÿ•’ Schedule: Phase 1 (6 months), Phase 2 (1 Year).

๐Ÿ‘ฅ Team: 1 at phase 1 then 4 members at phase 2.

๐Ÿ† Results:
1- Achieved overall latency of 10.77 ms on a local machine.
2- BERT ML model reached an accuracy of 92%.

โ˜‘๏ธ Top challenges:
1- Coding in Java and Scala.
2- Integrating ML model in a Real-time system.
3- Meaningful representation of the collective sentiment.
4- Finding a correlation between different time frames and the asset price.

๐Ÿ’ฅ Impact: The Real-time platform is expanded and utilised in more applications like Smart Grids and Manufacturing (IoT).

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Surface Modification of 316L Casted Stainless Steel implant Enhancing Biocompatibility.

A joint Venture research project between the Faculty of Engineering Cairo University, the Faculty of Engineering German University in Cairo and the Metallurgical Research centre in Cairo.

Project Aim: To enhance the biocompatibility of 316L Stainless steel implants through surface treatment and compare it to Grade 23 Titanium implants.

Tech: SEM, AFM, Vacuum Casting, Mechanical Polishing, Ferrite Scope.

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M113 -A4 Modernisation Programย 

๐Ÿ“œ Scope: Fully modernize and refurbish M113 armoured vehicles.ย 

๐Ÿ’ป Technology: Systems integrated (AC, NBS filters, FSDS, TDS, Navigation & GPS, spall liners, add-on armour, power pack, tracks, and suspension)

๐Ÿ•’ Schedule: ย Participated in 3 Years of the program (Phase 3 -LAst phase-).

๐Ÿ‘ฅ Team: AL-ESNAD factory,ย  FNSS ME LLC, FNSS (Turkey),ย  Royal Saudi Land Forces (RSLF),ย  AUC (Automotive upgrade centre).


Cadillac 4x4 V-150 Modernization Programย 

๐Ÿ‘ฅ Stakeholders: AL-ESNAD (KSA), NAPCO (USA), Saudi Arabian National Guard (SANG).

๐Ÿ“œ Scope: Fully upgrade the V-150 and integrate new systems.ย 

๐Ÿ’ป Technology: Power train, Powerpack, Suspension, Intercom system, Radio, Armoring B7, CARC paint, NBC filters, AC units, Fire detection and Suppression, TDS (Thermal detection System), RPJ protection Net.

OSHKOSH M-ATV Upgrading Projectย 

๐Ÿ“œ Scope: Installation & Integration of subsystems to the vehiclesย 

๐Ÿ’ป Technology: ย Radios (Panther, Harris, and Aselsan), SOTAS intercom (M2), Driver Thermal Camera, Navigation and GPS (includes training and calibration services), upgraded RPG Net, New Canister tubes set, Engine Protection kit EPK (Fully designed by Al-Esnad), and Gunner protection hit GPK (Assembly and installation).

๐Ÿ•’ Schedule:ย  2 Years.

Designing and Establishing of AL-ESNAD Factoryย 


๐Ÿ“œ Scope: ย Design and commission a full production infrastructure of a 20,000 m2 military facility.

๐Ÿ’ป Technology: CNC lathe & milling, Press brakes, Welding line, CMM (Coordinates Measuring Machine), Water jet, CARC painting, different metal coating and electroplating processes, Heat treatment unit, Dynamic UPS, Pneumatic circuit. Sandblasting, Cable harnessing workshop, Material handling and storage units.

๐Ÿ‘ฅ Stakeholders: AL-ESNAD factory (Riyadh KSA), International and local suppliers.

๐Ÿ•’ Schedule:ย  2 Years

๐Ÿ† Results: Fully operational top-tier defence facility.

NEXTER CAESAR 155 mm Upgrading Project

๐Ÿ‘ฅ Key Stakeholders: AL-ESNAD (KSA), NEXTER (France), ODAS (France), Royal Saudi Land forces (RSLF).

๐Ÿ“œ Scope: Tech. transfer

๐Ÿ’ป Technology: Training Al-Esnad team in Nexter's factory in France, painting the whole fleet with CARC paint as per RSLF requirements at Al-Esnad, performing maintenance, quality control, repairs, and technical support to the customer.

๐Ÿ•’ Schedule:ย  3 months

Enterprise-level IMS design & Implementation Project

Scope of Work:ย 

ย ๐Ÿ‘ฅ Stakeholders: AL-ESNAD factory and DAS Certification (UK)

๐Ÿ“œ Scope: Acts as MR (management representative), and coordinates with the certification body to conduct audits. Responsible for designing, and implementing a full (integrated management system) IMS in accordance with ISO 9001, 18001, and 14001.

๐Ÿ•’ Schedule:ย  18 Months

๐Ÿ† Results: Performed regular Audits to check compliances. Lead and train internal auditors. Responsible for successfully renewing the certificates.

โ˜‘๏ธ Top challenges: Human change management.

๐Ÿ’ฅ Impact: Increase the Maturity level of the organisation.

Chemring IDE & Mine Detector Deployment

๐Ÿ‘ฅ Key Stakeholders: AL-ESNAD factory, ESNAD (Turkey). Chemring (USA), and Royal Saudi Land Forces (RSLF).

๐Ÿ“œ Scope: Supply and train the customer on operating and maintaining Ground shark IDE and mine detector

๐Ÿ’ป Technology: Different types of sensors and Radars.

๐Ÿ•’ Schedule:ย  1 month.

๐Ÿ† Results: Customer satisfaction > 98%

โ˜‘๏ธ Top challenges:ย  Program a new embedded Software as per customer requirement.ย 

๐Ÿ’ฅ Impact: The device is in operation.

THALES SOTAS M2ย 

๐Ÿ“œ Scope: ย Installation, Integration of SOTAS M2 intercom system, training the end users, performing Level 4 maintenance (SOTEST, board replacement, Software configuration) and technical support.

๐Ÿ’ป Technology: SOTAS M2 Intercom system

๐Ÿ•’ Schedule:ย  24 months

THALES SOTAS M3 Demo

๐Ÿ“œ Scope: Make a full demonstration and training to the customer in Tabuk, KSA.ย 

๐Ÿ’ป Technology: Demonstration of multiple brands for the headsets. Drop test, leak test, static, and in-motion trials.ย 

๐Ÿ•’ Schedule:ย ย 

๐Ÿ† Results: Customer product satisfaction >95%

โ˜‘๏ธ Top challenges: Handling multiple training and technical testing simultaneously.

0.5 Caliber Machine gun Turret Design & Manufacturing Project

๐Ÿ“œ Scope: ย Design and Manufacturing of the turret to be installed on pickups.

๐Ÿ’ป Technology: Utilised different manufacturing and Testing technologies.

๐Ÿ•’ Schedule: 6 monthsย 

ATEL Jammer Installation & Integration Project

๐Ÿ“œ Scope: Manufacturing, installation, and Integration of Jamming system on Land cruisers, Pickups, and GMC Vehicles.

๐Ÿ‘ฅ Key Stakeholders: AL-ESNAD (KSA), ATEL (TURKEY) and Saudi Arabian National Guard (SANG).

๐Ÿ’ป Technology: Atel Jamming system.

๐Ÿ•’ Schedule: ย 8 Weeks.

๐Ÿ† Results: A robust solution that is still in operation by our customers.

โ˜‘๏ธ Top challenges: Upgrading and reengineering the engine compartment to fit the new Jamming system. Designing and manufacturing a robust structure to carry the antennas. Installing the system across the country.ย 

Lockheed Martin Localization Programย 

๐Ÿ“œ Scope: Lockheed Martin-Saudi Arabia's localization program aims to validate suppliers and local manufacturers in Saudi Arabia.

๐Ÿ’ป Technology: Special processes (Painting and Coating)

๐Ÿ•’ Schedule: 1 month.

๐Ÿ† Results: Validated more than 12 special processes by Lockheed.ย 

โ˜‘๏ธ Top challenges: Meeting all the standard requirements.

๐Ÿ’ฅ Impact: Development and maturity for our organisation.

Robotic Convolutional Neural Network classifier (Industry 4.0)

Scope of Work: Building ML Model that can be embedded in robotic systems,

For fruits and Vegetables Recognition and Classification using multiple Convolutional Neural Networks.
Technology embraced: Matlab, GoogleNet, and Customized CNN.

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Native AWS Cloud Solution

Scope of Work: Implementing a cloud-native solution on AWS cloud.ย 

Technologies: AWS Cognito, Rout 53 DNS, 3rd Party Gateway to the payment server, EBS, S3, EMR, RDS, Dynamo DB, QuickSight, Redshift, CloudWatch, SNS&SES on a public and private subnet with a VPC.ย 

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IDS 2018 Analysisย 

The Dataset: CSE-CIC-IDS2018 on AWS
A collaborative project between the Communications Security Establishment (CSE) & the Canadian Institute for Cybersecurity (CIC).

View Dataset ๐Ÿ‘

Project Scope: Applying Big Data Analytics. Applying 2 complex SQL queries. Applying 3 Advanced statistics methods. Applying Machine Learning technique (K-means clustering) ย