I'm a passionate AWS Cloud Engineer and Machine Learning Engineer with a deep enthusiasm for solving complex challenges in the cloud and AI domains. Over the years, I have honed my skills in designing, implementing, and optimizing scalable cloud infrastructure using AWS services such as EC2, S3, Lambda, and more. My expertise also extends to building and deploying machine learning models, leveraging frameworks like TensorFlow, PyTorch, and Scikit-learn. I thrive on transforming data into actionable insights and deploying AI solutions that drive innovation. With a solid understanding of cloud architecture, data engineering, and AI, I am committed to delivering reliable, efficient, and cutting-edge solutions. My goal is to bridge the gap between cloud computing and machine learning, enabling businesses to leverage the full potential of their data. When I'm not working on cloud and ML projects, I love staying up-to-date with the latest tech trends and continuously learning.

As a Junior AWS Cloud Engineer and Machine Learning Engineer, I have developed a strong foundation in cloud computing and machine learning, with a focus on building scalable, cost-efficient solutions. I am proficient in utilizing core AWS services like EC2, S3, and Lambda, and have hands-on experience in deploying applications on the cloud. In machine learning, I am skilled in data cleaning, exploratory data analysis, and implementing basic models using frameworks like TensorFlow and Scikit-learn. I am also learning to apply MLOps practices to streamline model deployment and monitoring. My knowledge of containerization technologies like Docker allows me to work with cloud-native applications and microservices. I am passionate about continuous learning, always eager to expand my skills and stay up-to-date with the latest trends in cloud and machine learning. I enjoy collaborating with team members and am excited to contribute to real-world projects while growing in my career.

Commitment. That's what I do and that's what I am good at. Sometimes the problems in ML engineering become harsh and requires a staggering amount of effort to solve it, but for the sake of solving it I either approach another expert in my field who is more experienced than I am or else I rigorosuly explore a solution myself in their absence. At the end of the day, It's my job to bring the moon to you. The moon here being our solution to that challenging ML problem. Despite being enthusiastic about working with ML solutions, I am gonna keep things real too. I won't pickup challenges to which I am not capable enough to handle it yet. So, you can always expect a honest response from me when it comes to solving a ML problem. On the contrary, there are situations where ML solutions might be redundant. In those cases, I would help you take the algorithmic workaround and save you money despite this approach being unglamorous and being less flexible. In a nuthsell, I am not gonna give my word on something I am incapable of handling but when I give my word about something I will fulfill it at all cost.