AMRUTA KALLIGUDD
Lead Engineer
Bengaluru
Summary
Highly motivated and result oriented Data Engineer with experience in designing, building and maintaining scalable data pipeline. Proficient in PySpark, AWS, Airflow, Kubernetes and SQL. Proven track record of deploying scalable and efficient data pipelines to solve complex business problems and drive data driven decision making. Passionate about working with cutting edge technologies to deliver high impact data projects.
Overview
7
7
years of professional experience
6
6
years of post-secondary education
2
2
Certifications
Work History
Lead Engineer
Samsung R&D Institute - Bangalore (Samsung Ads)
Bangalore
01.2022 - Current
- Worked on building knowledge graph to enhance audience segmentation and personalized advertising in adtech platform.
- Created an end-to-end pipeline that processed TV program viewing data,generated BERT-based embeddings for program descriptions and used Lance Search on vector embeddings to identify viewing patterns and predict age groups in real-time. This enhanced targeting capabilities for TV advertisers by enabling more precise age demographic predictions based on content preferences,improving campaign effectiveness.
- Implemented the Temporal Fusion transformer (TFT) time series model to forecast bid requests and impressions specifically to Samsung TV advertising, enabling better ad inventory management and campaign optimization.
- Design and implement scalable data pipelines using PySpark and Apache Airflow for processing large datasets
- Achieved cost savings by streamlining workflows, automating repetitive tasks, and reducing material waste across various projects.
- Utilized AWS S3 for storing and managing large datasets, improving data access.
- Implemented and maintained Kubernetes -based containerized applications, enabling smooth deployment and scaling of data pipelines.
- Collaborated closely with cross functional teams to identify business needs and translate them into technical solutions using data driven approaches.
Senior Research Engineer
Zapr Media Labs
Bangalore
01.2020 - 01.2022
- Implemented Automatic Content Recognition(ACR) using OpenCV to identify and analyze digital content in video and image ads, enabling automatic ad verification and content matching for targeted advertising campaigns.
- Built a YOLO based system to identify brand logos and other visual content in video ads, improving the accuracy of ad targeting and enabling better ad performance insights.
Engineer
Knowles Precision Devices
Bangalore
01.2018 - 01.2020
- Worked on the Development of a microphone system with an always-on feature, focusing on optimizing voice processing capabilities
- Utilized C programming to implement and refine voice detection algorithms, ensuring real-time audio processing and seamless performance in low-power, continuous monitoring environments
- Employed JTAG logic analyzers to debug, test, and validate hardware level functionality and communication between components, ensuring system reliability and accuracy
- Conducted performance tuning and optimization of firmware
Education
M.Tech - VLSI and Embedded Systems
Reva University
Bengaluru 08.2015 - 07.2017
B.E - Electrical and Electronics Engineering
KLS Gogte Institute of Technology
Belagavi 08.2011 - 07.2015
Skills
Python
SQL
PySpark
Apache Spark
AWS
Kubernetes
Apache Airflow
XGBoost
BERT
undefinedCertification
CNNs With Tensorflow: Basics of Machine Learning, Coursera, https://www.coursera.org/account/accomplishments/verify/VD59K2DCNFF0
Timeline
Lead Engineer
Samsung R&D Institute - Bangalore (Samsung Ads)
01.2022 - Current
Senior Research Engineer
Zapr Media Labs
01.2020 - 01.2022
Advanced Course in Embedded System from Vector Institute Bengaluru
09-2018
Engineer
Knowles Precision Devices
01.2018 - 01.2020
M.Tech - VLSI and Embedded Systems
Reva University
08.2015 - 07.2017
B.E - Electrical and Electronics Engineering
KLS Gogte Institute of Technology
08.2011 - 07.2015
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