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@ganeshtirunalla
Aspiring Machine Learning Engineer with expertise in Python and AWS.
I am an aspiring Machine Learning Engineer with a strong foundation in Python, PyTorch, TensorFlow, and AWS services. My academic journey at St. Ann’s College of Engineering & Technology has equipped me with the skills to develop and optimize both supervised and unsupervised machine learning models. I am passionate about collaborating with research scientists and teams to create innovative predictive systems that push the boundaries of machine learning solutions.
During my internship at Datavalley Online, I honed my skills by training and optimizing ML/DL models, utilizing AWS S3 for data storage, and implementing MLOps practices. My project work, including a log classification system and a multimodal emotion recognition model, showcases my ability to leverage advanced techniques and tools to achieve significant performance improvements. I am eager to contribute my expertise to a dynamic team focused on cutting-edge machine learning applications.
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Work history, roles, and key accomplishments
AICTE Next24Tech
May 2024 - Jul 2024 (2 months)
Developed backend systems with Java and SQL, optimizing queries for efficient data handling. Worked in Agile teams to integrate CI/CD workflows, ensuring reliable deployments.
Datavalley Online
Dec 2023 - Jan 2024 (1 month)
Collaborated with teams to train and optimize ML/DL models using PyTorch and TensorFlow, improving performance with custom training techniques. Utilized AWS S3 for data storage, Athena for querying, and EC2 for computation, streamlining data pipelines.
Degrees, certifications, and relevant coursework
Master of Computer Applications, Computer Applications
2023 - 2025
Grade: 7.9
Pursuing a Master of Computer Applications with a focus on machine learning and data science. Achieved a CGPA of 7.9 while developing skills in Python, PyTorch, TensorFlow, and AWS services.
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