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yashaswi kakumanu

yashaswi kakumanu

Machine Learning Engineer / Data Scientist
Hyderabad, Hyderabad

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About yashaswi kakumanu:

Proficient Machine Learning Engineer with 6 years of experience. extensive experience in developing and deploying scalable ML models and solutions. Expertise spans the entire ML lifecycle, including data preprocessing, model training, evaluation, and operationalization, with a strong focus on efficiency and robustness. Proven ability to bridge machine learning with cloud and DevOps technologies for seamless deployment and enhanced scalability.

Key Skills include Python, SQL, NumPy, Pandas, PySpark, SciPy, Sklearn, TensorFlow, Keras, NLP, Generative AI, and time series analysis. Proficient in AWS (SageMaker, Lambda, Step Functions, ECR), Azure ML, Snowflake, and Databricks for cloud-based ML implementations. Skilled in Docker, Kubernetes, Terraform, CI/CD pipelines, Git, GitHub, and Azure DevOps, ensuring robust infrastructure as code and scalable deployments. Adept at using MLflow and Airflow for model orchestration and workflow management, and building RESTful APIs with Flask and FastAPI. Experienced with H2O.ai for automated ML and predictive analytics.

Experience

Proficient Machine Learning Engineer with 6 years of experience in the industry with extensive experience in developing and deploying scalable ML models and solutions. Expertise spans the entire ML lifecycle, including data preprocessing, model training, evaluation, and operationalization, with a strong focus on efficiency and robustness. Proven ability to bridge machine learning with cloud and DevOps technologies for seamless deployment and enhanced scalability.

Key Skills include Python, SQL, NumPy, Pandas, PySpark, SciPy, Sklearn, TensorFlow, Keras, NLP, Generative AI, and time series analysis. Proficient in AWS (SageMaker, Lambda, Step Functions, ECR), Azure ML, Snowflake, and Databricks for cloud-based ML implementations. Skilled in Docker, Kubernetes, Terraform, CI/CD pipelines, Git, GitHub, and Azure DevOps, ensuring robust infrastructure as code and scalable deployments. Adept at using MLflow and Airflow for model orchestration and workflow management, and building RESTful APIs with Flask and FastAPI. Experienced with H2O.ai for automated ML and predictive analytics.

Education

Bachelor of Engineering

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