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Raja S.

Building Deccan AI

Bengaluru

9+ years of work experience

Deccan AI
Jun 20265 mosPresent

Bangalore Urban, Karnataka, India

Samsung R&D Institute India
Mar 20242 yrs 3 mosMay 2026

Bengaluru, Karnataka, India

Samsung R&D Institute India
May 20221 yr 11 mosMar 2024

Zapr Media Labs
Jan 20225 mosMay 2022

Bangalore Urban, Karnataka, India

Zapr Media Labs
Jun 20192 yrs 8 mosJan 2022

Greater Bengaluru Area

- Designed and implemented panel tv viewership pipeline involving spark and sql workloads along with a mentee. - Involved in doing POC for running kubernetes workloads, developed internal tools and services required for smooth functioning of kubernetes cluster including networking, authentication, application secret handling and docker image build process - Designed and implemented a data workflow orchestration tool using Apache airflow and Kubernetes - Designed and built a generic benchmarking tool for apache spark which analyses memory and cpu consumption and network traffic to recommend improvements. - Involved in mentoring a intern and two software engineers on several projects
Zapr Media Labs
Jan 20181 yr 6 mosJun 2019

Bengaluru, Karnataka, India

- Responsible for development and maintenance of TV-advertisement detection data pipeline. - Improved runtime of several batch Apache spark workloads by benchmarking and implementing necessary code changes - Built a new batch match aggregator leveraging data analysis to improve accuracy and precision of in-house ad-detection time series aggregation system. - Experimented and used SIMD instruction set to increase data parallelism of low level string matching algorithms used, saving matching costs by 30%.
VOONIK - Every Woman's Personal Stylist
Jun 20177 mosDec 2017

Bengaluru, Karnataka, India

- Designed and implemented Random Forest algorithm which improved the overall user conversion by 10% - Enhanced the existing Linear Regression models by adding more features using Feature Engineering - Implemented Item-Item Collaborative Filtering Algorithm for user recommendation for cross sell - Responsible for building and deploying the microservice throughout staging and production
VOONIK - Every Woman's Personal Stylist
Jan 20173 mosMar 2017

Bengaluru, Karnataka, India

- As a part of retention team, built reports for critical business metrics which helped in making critical business decision - Implemented Coupon recommendation for users during checkout to increase user retention - Developed User Segmentation tool which automatically queries the user database with given parameters and creates Email campaign with those users.

Education

kumaraguru college of technology

Bachelor of Engineering (B.E.), Electronics and Instrumentation

kumaraguru college of technology

20134 yrs2017

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Headline

Building Deccan AI

Location

Bengaluru

Work experience

Backend engineer at Deccan AI, Jun 2026 - Present · 5 mos, Bangalore Urban, Karnataka, India

Chief Engineer at Samsung R&D Institute India, Mar 2024 - May 2026 · 2 yrs 3 mos, Bengaluru, Karnataka, India

Lead Engineer at Samsung R&D Institute India, May 2022 - Mar 2024 · 1 yr 11 mos

Technical Lead at Zapr Media Labs, Jan 2022 - May 2022 · 5 mos, Bangalore Urban, Karnataka, India

Senior Software Engineer at Zapr Media Labs, Jun 2019 - Jan 2022 · 2 yrs 8 mos, Greater Bengaluru Area, - Designed and implemented panel tv viewership pipeline involving spark and sql workloads along with a mentee. - Involved in doing POC for running kubernetes workloads, developed internal tools and services required for smooth functioning of kubernetes cluster including networking, authentication, application secret handling and docker image build process - Designed and implemented a data workflow orchestration tool using Apache airflow and Kubernetes - Designed and built a generic benchmarking tool for apache spark which analyses memory and cpu consumption and network traffic to recommend improvements. - Involved in mentoring a intern and two software engineers on several projects

Software Engineer at Zapr Media Labs, Jan 2018 - Jun 2019 · 1 yr 6 mos, Bengaluru, Karnataka, India, - Responsible for development and maintenance of TV-advertisement detection data pipeline. - Improved runtime of several batch Apache spark workloads by benchmarking and implementing necessary code changes - Built a new batch match aggregator leveraging data analysis to improve accuracy and precision of in-house ad-detection time series aggregation system. - Experimented and used SIMD instruction set to increase data parallelism of low level string matching algorithms used, saving matching costs by 30%.

Software Development Engineer at VOONIK - Every Woman's Personal Stylist, Jun 2017 - Dec 2017 · 7 mos, Bengaluru, Karnataka, India, - Designed and implemented Random Forest algorithm which improved the overall user conversion by 10% - Enhanced the existing Linear Regression models by adding more features using Feature Engineering - Implemented Item-Item Collaborative Filtering Algorithm for user recommendation for cross sell - Responsible for building and deploying the microservice throughout staging and production

Engineering Intern at VOONIK - Every Woman's Personal Stylist, Jan 2017 - Mar 2017 · 3 mos, Bengaluru, Karnataka, India, - As a part of retention team, built reports for critical business metrics which helped in making critical business decision - Implemented Coupon recommendation for users during checkout to increase user retention - Developed User Segmentation tool which automatically queries the user database with given parameters and creates Email campaign with those users.

Education

Bachelor of Engineering (B.E.), Electronics and Instrumentation, kumaraguru college of technology