Sharvil Kekre
San Francisco,CA
Summary
Innovative senior software engineer offering several years of experience. Enthusiastic about developing forward-thinking solutions to tomorrow's productivity problems. Demonstrates hardworking and adaptable approach to challenges with strong analytical and critical thinking skills.
Overview
4
4
years of professional experience
Work History
Senior Software Engineer
Applovin
Palo Alto, CA
06.2024 - Current
- Led design and development of a new ads event server processing ~40B daily requests, improving event granularity, enhancing recommendations, and increasing revenue by 3-4%.
- Implemented a daily Airflow job to clean up dead database components, reducing average query latency of caching mechanism by approximately 55%.
Software Engineer
Applovin
Palo Alto, CA
11.2021 - 06.2024
- Integrated AppLovin into Google Open Bidding, contributing $375K in daily revenue.
- Designed and implemented a publisher creative setting system, empowering mobile publishers with full control over their ad user experience.
- Migrated event processors from a deprecated server, enabling the ML team to leverage real-time signals, significantly improving model accuracy for bidding computations.
- Led the cleanup of AppLovin MAX auction errors, recovering hundreds of thousands of dollars in daily revenue.
- Developed a feature in the caching mechanism to eliminate unused queries, significantly improving system latency since its integration.
Software Engineer
Nutanix
San Jose, CA
04.2020 - 11.2021
- Engineered cloud-based data interfaces for Nutanix Karbon Platform Services, optimizing IoT data utilization and boosting network capacity by 71%.
- Led development of a Terraform provider for Nutanix Karbon Platform Services, with 1,200+ installations supporting 60+ clients in application-level development at the time of my departure.
Education
Bachelor of Science - Computer Science
University of Massachusetts Amherst
Amherst, MA12-2019
Skills
- Languages: Java, Python, C, Golang, SQL
- Frameworks: Spring Boot, Spark, scikit-learn, Django, Flask
- Tools: Airflow, Docker, Kubernetes, Jenkins
- Databases: MySQL, PostgreSQL, Aerospike, Vertica
Projects
SimpleLearn
Developed a machine learning package that enables users with limited ML knowledge to train high-performance models for specific use cases. Similar to Google AutoML, SimpleLearn automates model selection, hyperparameter tuning, iterative modeling, and assessment using a greedy algorithm and grid search. Achieved over 43K downloads to date.
Timeline
Senior Software Engineer
Applovin
06.2024 - Current
Software Engineer
Applovin
11.2021 - 06.2024
Software Engineer
Nutanix
04.2020 - 11.2021
Bachelor of Science - Computer Science
University of Massachusetts Amherst
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