sahil jaiswalSJ
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sahil jaiswal

@sahiljaiswal

Seasoned Software Engineer with expertise in designing and deploying scalable distributed systems.

India

I am a seasoned Software Engineer with a proven track record of close to 3 years in the design, development, and deployment of highly extensible and scalable distributed systems on cloud platforms. My expertise lies in creating robust and efficient solutions that leverage the power to drive innovation and deliver exceptional results.

During my tenure at Google as a Software Engineer II, I have successfully redesigned the Orders Page, increasing user interaction by 3x through improved clarity and functionalities. I have also implemented User-Tailored Product Recommendations, boosting in-app orders by 2x and user engagement by 6x within 2 weeks. Additionally, I optimized the Landing Page Load Time, reducing load time from 20+ seconds to under 5 seconds, resulting in significant gains in user acquisition, retention, and engagement.

Outside of my professional work, I have undertaken personal projects such as Learning Log, an online journal system that allows users to keep track of information they have learned about particular topics. I have also contributed to academic group projects, including one in Cloud Computing where I created an access control mechanism in a public cloud.

Experience

Work history, roles, and key accomplishments

GO
Current

Software Engineer II

Google

Aug 2021 - Present (3 years 9 months)

Seasoned Software Engineer with a proven track record of close to 3 years in the design, development, and deployment of highly extensible and scalable distributed systems on cloud platforms. Expertise lies in creating robust and efficient solutions that leverage the power to drive innovation and deliver exceptional results.

SI

Software Engineer

Simsim

Designed and implemented a cache invalidation pipeline for the Identity and Access Management shopping app, resulting in a 60% reduction in AWS resource consumption. Streamlined cache management by efficiently identifying and removing outdated images and files. Optimized resource utilization, leading to significant cost reductions.

PS

Machine Learning Intern

Peacock Solar

Worked on finding cities or states where growing the business will be most fruitful. Designed a pipeline which used to first source data from websites and then organize that data into an excel sheet. Applied machine learning algorithms to the fetched data and presented the visualization of that data, and also mentioned the best cities to grow their businesses.

Education

Degrees, certifications, and relevant coursework

sahil hasn't added their education

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