Available for new opportunities
Hi, I'm Toufic Kashmar
Building scalable cloud native solutions powered by Generative AI and computer vision
About Me
My name is Toufic Kashmar, and I am a Senior Cloud Native Consultant and Software Developer with a passion for building intelligent, scalable solutions that connect the digital and physical worlds. With more than five years of experience, I specialize in cloud native architecture, Generative AI, computer vision, simulation, and digital twins. I combine these technologies to turn complex ideas into reliable, production ready solutions.
With a background in Mechatronics Engineering, I have developed a multidisciplinary perspective that allows me to approach challenges as both an engineer and a problem solver. Throughout my career, I have contributed to innovative projects with leading organizations, including Porsche, BMW, Audi, AWS, Siemens, and Volkswagen. In these projects, I helped teams design and deliver technologies that address real world challenges.
What motivates me most is solving complex problems, transforming ambitious ideas into practical products, and creating solutions that deliver meaningful impact. I enjoy working at the intersection of cloud engineering, artificial intelligence, and emerging technologies, where creativity, technical expertise, and execution come together.
Looking ahead, I aim to continue exploring how cloud native platforms, Generative AI, computer vision, and digital technologies can transform industries and shape the future.
Contributed to projects for
Core Expertise
Cloud Architecture
Designing and delivering secure, reliable, scalable systems in the cloud.
Generative AI
Building intelligent solutions that unlock new possibilities with AI-driven innovation.
DevOps & Automation
Shipping infrastructure and code from commit to production, automatically.
Backend Development
Designing and building backend systems and APIs with Python and TypeScript.
Computer Vision
Developing high-accuracy, reliable computer vision solutions.
Simulation & Digital Twins
Creating realistic digital replicas to test, optimize, and improve system performance.
Experience
Senior Cloud Native Consultant · MHP — A Porsche Company
July 2023 — PresentBerlin, Germany
- Delivered cloud and AI projects for clients including Porsche, BMW, Audi, AWS, and Siemens.
- Architected and deployed a generative AI platform on Microsoft Azure, with infrastructure defined in Bicep and automated releases through GitLab CI/CD.
- Led the migration and re-architecture of the Azure-based GenAI platform to AWS, with infrastructure managed through Terraform.
- Designed a secure, automated CI/CD pipeline using AWS CDK to deploy Infrastructure as Code for a Computer Vision Anomaly Detection solution, with security best practices built in.
- Created a physics-based digital twin of a warehouse, simulating AGVs and machinery operations with NVIDIA Isaac Sim.
- Built a real-time conversational digital avatar combining speech-to-text, Generative AI, text-to-speech, NVIDIA Audio2Face, and Unreal Engine MetaHuman rendering.
- Built a backend parser on AWS that extracts metadata from 2D and 3D CAD files into a centralized database.
Robotics Engineer Intern · Idealworks
Jan 2023 — May 2023Munich, Germany
- Developed an analysis tool that utilized robot logs to visualize performance and improve behavior.
- Tested, measured, and analyzed robotic components' behavior, emulating it in a simulated environment.
- Debugged and resolved technical issues in robotic systems, including both software and hardware problems.
- Participated in the commissioning and integration of new robotic systems alongside engineers and technicians.
Computer Vision Research Engineer Intern · BMW Group — Technology and Innovation Office
July 2022 — Dec 2022Munich, Germany
- Implemented multiple generating algorithms to create thousands of synthetic images using NVIDIA Isaac Sim for the SORDI dataset.
- Developed a multi-threaded pipeline to process and format generated images and data to meet BMW standards.
- Built NVIDIA Omniverse scenes and added domain randomizations inspired by real world industrial distribution.
- Contributed to the development of the AI pipeline for scene reconstruction from large-scale 3D point clouds.
Robotics Engineer Intern · Spexal Robotics
Feb 2022 — Jun 2022Zalka, Lebanon
- Developed autonomous robots for high-profile clients, including BMW and Noyes Technology.
- Designed, tested, and built robotics software and hardware systems that are productive and safe to operate.
- Explored how the robots performed in their environments to drive improvements to the autonomous robot's success.
Robotics R&D Engineer · BMW Group — Logistics & Robotics Office
Jan 2021 — Dec 2021Remote
- Designed and simulated a dual granular jamming and suction-based robotic gripper for UR10-based "pick and place" robots, as a research project in collaboration with the BMW Group Logistics Robotics team for the Munich plant, after winning first place in the BMW Hackathon in collaboration with LAU.
Professional Projects
GenAI Platform Migration to AWS
Led the re-architecture and migration of an Azure-based GenAI platform to AWS, with infrastructure managed through Terraform. Designed the target cloud architecture and supported its transition into a scalable, production-ready environment.
GenAI Solution Architecture on Azure
Architected and deployed a GenAI platform on Microsoft Azure, with infrastructure defined in Bicep and automated deployment through GitLab CI/CD. Delivered a reliable, secure, and scalable solution for enterprise use.
Warehouse Digital Twin & Synthetic Data Generation
Developed a physics-based digital twin of a warehouse using NVIDIA Isaac Sim, simulating AGVs and complex machinery operations. Designed and implemented automated pipelines for synthetic data generation to support advanced computer vision models.
Cloud Integration for Anomaly Detection
Designed and deployed a scalable cloud infrastructure using AWS, supporting anomaly detection pipelines in industrial systems. Contributed to backend architecture, developed key components, and implemented comprehensive unit tests for reliability and performance.
AI-Powered Digital Avatar Interaction
Built a real-time conversational digital avatar integrating STT, Generative AI, TTS, and NVIDIA Audio2Face, with Unreal Engine MetaHuman rendering for lifelike facial animation and spoken responses.
Machine Learning Forecasting Models
Developed time-series forecasting models combining statistical methods and generative approaches to simulate asset lifecycles. Produced synthetic metadata for predictive analytics and integration into digital twin environments.
Certifications
Microsoft Certified as an Azure Administrator Associate
Certified in using Cybus Connectware for industrial data integration
Certified Professional Scrum Master with knowledge of Agile and Scrum
AWS Certified upon completion of the Cloud Practitioner level
NVIDIA Omniverse certified for developing and customizing Omniverse extensions
Deep Learning, Computer Vision, and NLP certificate of training from Microsoft and BeirutAI
ICT Certified on completing the ICT Professional Programs for Ericsson
Solidworks Certified upon completion of the Associate Level in Mechanical Design
Education
Bachelor of Engineering in Mechatronics — Distinction
2017 — 2022Lebanese American University
Byblos, Lebanon
Relevant coursework: Mechatronics, Computer Vision, Digital Twinning, Artificial Intelligence, Simulation