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Work Experience
MLOps Engineer
Tata Consultancy Services Ltd•  October 2021 - Present
1. Designed and developed highly scalable Kubeflow ML pipelines for Nokia in a fast-paced agile environment. 2. Implemented a real-time performance degradation detection feature, ensuring a 90% performance recovery rate from false predictions by the machine learning model. 3. Engineered and deployed a feature enabling training of user-specific entities, reducing training time by 3x. 4. Initiated and automated installation and uninstallation processes using shell scripts, resulting in a remarkable 5-fold improvement in installation time. 5. Improved data export efficiency by 4x using multi-threading and pandas.
Data Engineer
Tata Consultancy Services Ltd•  July 2021 - September 2021
1. Implemented and validated data pipelines using Google Cloud Platform as a data engineer in the Vodafone Nucleus project. 2. Optimized ETL pipelines by collaborating closely with cross-functional teams, leading to improved data quality and a 2x reduction in processing time. 3. Detected and documented the highest number of defects backed by in-depth RCA, showcasing analytic skills to drive quality. 4. Automated pipeline triggering using DAGs in Airflow, reducing manual efforts by 50% and eliminating specification of multiple parameters.
Machine Learning Intern
Bennett University•  May 2020 - June 2020
1. Spearheaded a team of 4 members in creating a Deep Learning model that identifies real-life violence in videos. 2. Achieved a state-of-the-art accuracy of 95% with the model compared to the 88.2% accurate model proposed by the dataset creators. 3. Created multiple models on top of different pre-trained models and actively guided others to explore diverse approaches and optimizations.
Education
velagapudi ramakrishna siddhrtha engineering college kanuru
Information Technology, B.Tech•  June 2017 - July 2021
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