Designing, developing, and testing embedded system solutions for a variety of applications.Collaborating with cross-functional teams to ensure seamless integration of software and hardware components.Conducting system-level debugging and performance optimization.Implementing and maintaining firmware for embedded systems.Staying up-to-date with industry trends and emerging technologies to continually enhance our products.

Instructor at Discovery AcademyEmbedded SystemsCPU Architecture C/C++PythonRobotics

As the Lead Machine Learning Engineer, I spearheaded critical AI initiatives with far-reaching implications for our organization. This role allowed me to leverage machine learning expertise to drive innovation and provide solutions to complex challenges in various business domains.Key Accomplishments:Machine Learning Strategy: I developed and executed a comprehensive machine learning strategy to harness the potential of AI in our organization. This included identifying key business areas where machine learning could provide substantial value and aligning the technology roadmap with business objectives.Cross-functional Collaboration: I worked closely with cross-functional teams, including data scientists, software engineers, and domain experts, to conceptualize, design, and implement machine learning solutions. This collaborative effort facilitated the development of cutting-edge AI applications.Model Development and Deployment: I took a hands-on approach in designing, training, and deploying machine learning models to solve real-world problems. This involved selecting appropriate algorithms, preprocessing data, and optimizing model performance.Scalable Infrastructure: I led efforts to create a scalable and efficient machine learning infrastructure, enabling the deployment of models at scale. This infrastructure allowed for seamless integration of AI solutions into various products and services.