I am a versatile engineer with a strong background in the machine learning, product development, developer advocacy, and DevOps. My expertise lies in leveraging some of the cutting-edge techniques and frameworks to build robust and scalable AI solutions, as well as driving product innovation, fostering developer communities, and ensuring efficient deployment and management of applications.
- Programming Languages: Python, Java, C++ & Go.
- Machine Learning:
- Deep Learning: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformers.
- Data Processing: Pandas, NumPy, SQL, and Postgresql.
- Containerization: Docker, Kubernetes.
- Cloud Platforms: AWS, GCP.
- Product Development: Agile Methodologies, User Experience (UX) Design, Product Management
- DevOps:
Currently working as an ML Engineer, I have worked on various machine learning projects spanning diverse domains such as computer vision, natural language processing, predictive analytics, and recommendation systems. I am adept at handling end-to-end machine learning workflows, from data preprocessing and feature engineering to model training, evaluation, and deployment.
I've been As a Product Engineer, I have been involved in the entire product development lifecycle, collaborating with cross-functional teams to design, build, and launch innovative products. My focus has been on translating user needs into functional requirements, optimizing the user experience, and ensuring product quality and scalability.
In my previous role as a Developer Advocate Engineer, I have fostered vibrant developer communities by creating educational content, conducting workshops, and evangelizing new technologies. I have a passion for sharing knowledge and empowering developers to build cutting-edge solutions.
With my DevOps expertise, I have implemented robust CI/CD pipelines, automated deployment processes, and streamlined infrastructure management using tools like Git, Jenkins, CircleCI, Ansible, and Terraform. I am skilled in ensuring efficient and reliable application delivery while maintaining high quality standards.