Kavya Maddi
Bangalore
Summary
As a dedicated Software Development Engineer, I bring over 4.5+ years of experience in designing, developing and maintaining software applications. Passionate about building robust APIs, enhancing system reliability, and leveraging event-driven architectures to improve scalability and operational efficiency.
Overview
7
7
years of professional experience
Work History
Software Engineer 2
Quotient Technology Inc
10.2022 - Current
- Integrated multiple fraud detection models, enabling real-time analysis of user behavior, and achieving a 70% reduction in fraudulent activities, significantly improving system security, and reducing financial losses.
- Developed a batch job to reprocess user transactions efficiently when new UPCs are added to an existing offer, ensuring accurate offer redemption and correct payment processing.
- Developed a custom raw-to-curated data flow template in GCP to be consumed by the Business Intelligence team.
- Migrated services from on-premises to cloud leveraging grpc for enhanced scalability and performance.
- Tech Stack: Java, Springboot, Apache kafka, Google cloud services.
Software Engineer
Quotient Technology Inc
12.2020 - 09.2022
- Worked on integrating with Microblink, a third-party document extraction software for receipt OCR extraction, which increased processing of receipt automation by 40%.
- Configured cloud build and spinnaker deployment pipelines for microservices and kafka consumers, streamlining the development and deployment processes.
- Tech Stack: Java, Spring Boot, Apache Kafka, MySQL, Cassandra, Google Cloud Services, Spinnaker, Splunk.
Software Engineering Intern
Quotient Technology Inc
12.2019 - 11.2020
- Migrated several scheduling python jobs from rundeck to airflow for its complex scheduling capabilities.
- Worked on enhancing multiple user recommendation algorithms. Implemented frequency capping feature using pyspark which processes 10 million user data to enhance user recommendations based on user impressions.
- Enhanced product team productivity by developing a recommendation engine diagnosis tool that displays user recommendations that were served at particular instant.
- Tech Stack: Python, Java, Apache PySpark, Apache Hadoop, Airflow, Rundeck, BigQuery, HTML, CSS, JavaScript.
Software Engineering Intern
OHM AI Tech Labs
05.2018 - 11.2018
- Team focused on developing a patient facing, intelligent chatbot in healthcare domain that improves patient outcomes, enhance data standardization and ultimately reduce costs in selected outpatient clinics. The level of integration achieved between chatbot and Epic EHR systems helps in minimal learning curve for physicians, nurses and staff that are already familiar using Epic.
- Tech Stack: AWS Lex, AWS lambda, S3, Java, Springboot, MySQL
Education
Master of Science - Theoretical Computer Science
PSG College of Technology
Coimbatore05-2020
Accomplishments
- Part of the winning team in the 7th and 9th internal hackathons at Quotient Technology Inc.
- Winner of 4th CSI Discover Thinking Online Programming contest.
Timeline
Software Engineer 2
Quotient Technology Inc
10.2022 - Current
Software Engineer
Quotient Technology Inc
12.2020 - 09.2022
Software Engineering Intern
Quotient Technology Inc
12.2019 - 11.2020
Software Engineering Intern
OHM AI Tech Labs
05.2018 - 11.2018
Master of Science - Theoretical Computer Science
PSG College of Technology
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