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<ul><li>AI and GenAI Solution Design:<ul style="list-style-type:circle;"><li>Lead architecture and development of AI-driven solutions using tools such as Azure OpenAI, NVIDIA NGC, Google Vertex AI, and AWS Bedrock/SageMaker.</li><li>Integrate and customize pre-trained models from OpenAI, Llama3, NVIDIA, and other platforms, optimizing for specific use cases (e.g., customer service, data analytics).</li><li>Implement and manage GenAI services, leveraging Task Weaver, Google Vertex AutoML, and local LLMs for tailored AI applications.</li></ul></li><li>MLOps and Data Pipeline Automation:<ul style="list-style-type:circle;"><li>Deploy and maintain MLOps workflows using tools like Kubeflow, MLFlow, and CI/CD practices for data lakes with LakeFS.</li><li>Architect and maintain multi-cloud data pipelines and storage solutions with Kubernetes, K3s/K8s, and Docker.</li></ul></li><li>Embedded Linux and IoT Solutions:<ul style="list-style-type:circle;"><li>Design and develop custom embedded Linux solutions for devices such as Beaglebone, Raspberry Pi, and OrangePi using Yocto, Armbian, and BuildRoot.</li><li>Integrate and deploy IoT edge solutions on microcontrollers like ESP32/ESP8266, RP2040, with a focus on advanced protocols and device management.</li><li>Deploy, configure, and manage edge computing devices, including NVIDIA Jetson, ZimaBoard, and Raspberry Pi, leveraging AI capabilities for IoT applications.</li></ul></li><li>Cloud Architecture and Edge Integration:<ul style="list-style-type:circle;"><li>Architect scalable multi-cloud solutions on AWS, Azure, and Google Cloud for AI, data, and IoT workloads.</li><li>Implement edge streaming, digital twin creation, and IoT device management using Azure IoT Hub, Google IoT Core, and AWS IoT Core.</li><li>Enable cross-platform integration with observability tools, data analytics, and cloud database solutions (Cosmos DB, BigQuery, Snowflake).</li></ul></li><li>DevOps and Automation:<ul style="list-style-type:circle;"><li>Develop multi-cloud and on-premise automation solutions using tools like Terraform, Helm, and CDK/TypeScript for infrastructure-as-code.</li><li>Optimize DevOps workflows and automate processes with CI/CD pipelines, monitoring solutions, and advanced configurations across cloud platforms.</li></ul></li></ul><div align="center" style="text-align:center;"><hr align="center" size="2" width="100%"></div><ul><li>Expertise:<ul style="list-style-type:circle;"><li>Strong hands-on experience with AI/ML models and platforms (e.g., OpenAI).</li><li>Proven track record in MLOps, using tools like Kubeflow, MLFlow, and LakeFS.</li><li>Extensive experience with embedded Linux, IoT device management, and edge computing.</li><li>Proficiency in cloud platforms (AWS, Azure, GCP), IoT architecture, blockchain, and advanced DevOps.</li><li>Advanced programming skills in Python, C++, Go, JavaScript, Bash, and PowerShell.</li></ul></li><li>&#160;</li></ul>