Sai Charan Viswanath Email and Phone Number
My journey in the world of data engineering has been shaped by some incredible experiences at organizations like C3.ai, Walmart, and Flipkart.C3.ai - I'm currently part of the Customer Services team, where I work closely with clients to craft and develop state-of-the-art data integration and architectural solutions. I use C3's Data Scripting Language (DSL) to develop complex data integrations and pipelines that power AI workflow applications.Walmart - I was on the Search team, where I designed a lineage tool for data observability. The tool helped pinpoint and resolve bottleneck production jobs, which made workflows run more efficiently. Plus, I introduced an automated JIRA ticket creation feature, which sped up issue resolution and made development faster.Flipkart - I had the oppurtunity of working on data processing pipelines for online ads. One of my proudest moments was when I led a project to build data pipelines and a solid backend for an analytics dashboard. This dashboard has become a go-to tool for brands to track the performance of their ads on the Flipkart website in real-time.I am well-versed in Data Warehousing and Modeling concepts, and big-data frameworks such as Spark (batching), Hadoop (MapReduce, HDFS, YARN), and Kafka (streaming). I have experience in orchestrating workflows using Airflow and Azkaban. I have worked with relational databases like MySQL, PostgreSQL, and NoSQL databases like MongoDB, Cassandra, and Clickhouse. Experienced in distributed computing and have worked extensively in cloud technologies like GCP and BigQuery.
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AdobeSan Jose, California, United States -
Software Engineer IiCardlytics Jan 2024 - PresentAtlanta, Ga, Us -
Data EngineerC3 Ai Jul 2023 - Jan 2024Redwood City, California, Us• Design complex data integration solutions and pipelines on high volume data sets to enable AI workflows.• Created Map reduce jobs and Javascript code to transfer customer data across environments tosupport migration tasks. -
Graduate Teaching AssistantUniversity Of Southern California May 2022 - May 2023Los Angeles, Ca, Us• Teaching Assistant for DSCI 553 : Foundations and Applications of Data Mining• Tutored over 200 students in the concepts of Map-Reduce, Recommendation Systems, Social Networks, and Data Streams.• Helped design coding assignments, quizzes and examinations for students.• Conducted Office Hours to assist students with their doubts and queries. -
Data Engineering InternWalmart Global Tech May 2022 - Aug 2022Bentonville, Arkansas, Us• Engineered a Python script to construct a Directed Acyclic Graph (DAG) for visualizing intricate component dependencies within pipelines. This tool, taking pipeline and component inputs, not only maps comprehensive dependencies but also identifies internal and external connections.• Introduced an essential feature by computing wait times for each DAG component, considering both expected and actual start times. This had a substantial impact on debugging process, enabling swift identification of bottlenecks and performance issues.• Implemented an automation solution to enhance the issue tracking workflow. This feature automatically generates JIRA tickets upon pipeline failures, streamlining issue reporting and resolution processes, thus optimizing overall pipeline management. -
Software EngineerUsc Information Sciences Institute Aug 2021 - May 2022Marina Del Rey, California, Us• Utilized Pegasus to create and manage scalable workflows, enabling high-performance data processing over distributed computing environments.• Collaborated with the research team to apply Genetic algorithms and PSO methods for efficient data center placement strategies. -
Data EngineerFlipkart Jul 2020 - Aug 2021Bangalore, Karnataka, In• Lead a team of 4 to develop backend for a business intelligence dashboard with HDFS, Hive, Map Reduce, and Sqoop. The dashboard was used by 1000+ brands to track the performance of their ads on the Flipkart website.• Reduced operational costs by migrating an existing pipeline from Hive queries to Spark. Leveraged Spark dataframes, Pair RDDs, and Scala to enhance efficiency in the process.• Collaborated with the Dev-ops team to deploy the application backend as Kubernetes pods, to handle 1000+ concurrent requests during sale times. -
Research InternIbm May 2019 - Jul 2019Armonk, New York, Ny, Us• Worked on explainability in deep learning models. Examined multiple statistical tools and came up with the concept of influential features, which quantifies how much an input feature in the data is responsible for a decision. • Using this, showed how adding minimal adversarial data to training examples can reverse the model's decision. -
Research InternIndian Institute Of Technology, Kharagpur May 2018 - Jul 2018Kharagpur, West Bengal, In• Worked on I worked on predicting monsoon spell variations using machine learning algorithms. • Using historical climatic data, implemented multiple classification models, including logistic regression, SVM, and LSTMS's and compared their performance. • Achieved state of the art results with attention based Seq2Seq model.
Sai Charan Viswanath Education Details
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University Of Southern CaliforniaComputer Science -
National Institute Of Technology KarnatakaComputer Science
Frequently Asked Questions about Sai Charan Viswanath
What company does Sai Charan Viswanath work for?
Sai Charan Viswanath works for Adobe
What is Sai Charan Viswanath's role at the current company?
Sai Charan Viswanath's current role is Software Engineer @ Cardlytics | MS CS @ USC.
What schools did Sai Charan Viswanath attend?
Sai Charan Viswanath attended University Of Southern California, National Institute Of Technology Karnataka.
Who are Sai Charan Viswanath's colleagues?
Sai Charan Viswanath's colleagues are Jdjejskek Jei, Patricia Honeywell, Liam Caldwell, Hemant Chaudhary, Ashina A, Stasha Taylor-Strazisar, Rajiv Kawatra.
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