# Akhil Bhamidipati

> Software Engineer @ Google

Location: New York, New York, United States
Profile: https://flows.cv/akhilbhamidipati

## Work Experience
### Software Engineer @ Google
Jan 2023 – Present | New York, New York, United States

### Software Engineer @ Datadog
Jan 2023 – Jan 2023 | New York, New York, United States
- Worked on the Query Planning team optimizing query plans for execution on the distributed system
- Enabled the migration of query plans to a new execution path to further leverage the capabilities of the distributed backend system
- Developed a solution to dynamically resolve type differences between the various backend systems, allowing more queries to be optimized using the planning framework

### Software Engineer Intern @ Datadog
Jan 2022 – Jan 2022 | New York, New York, United States
- Worked on the DatadogSQL team to bring a new SQL-like query system to life
- Modified the parser and grammar to add functionality for aliasing, multi-line comments, and query plans via “explain analyze”
- Developed a solution to identify and handle incomplete table scans in the backend systems due to memory constraints and alert users when such truncation resulted in inaccurate data being returned

### Software Engineer Intern @ Google
Jan 2022 – Jan 2022 | Sunnyvale, California, United States
- Worked on the Looker Production Infrastructure team to develop a comprehensive solution for automatic scaling of customers’ cloud instances to handle fluctuating loads, prevent outages, and relieve DevOps of the toil of having to manually resize instances (nearly 1,000 work hours annually)
- Designed and implemented 4 algorithms which proactively detected the need for increased resources (such as CPU, memory, and replica pods) before customers experienced prolonged performance issues on their Looker instances
- Developed a research framework (with a command line interface and visualizations) to simulate the actions of my automatic scaling algorithms over various historical time periods and customer instances to demonstrate their immense value: efficient resource usage, immediate remediation of performance issues, significantly less outages, and reduced reliance on manual scaling

### Software Engineer Intern @ PayPal
Jan 2021 – Jan 2021 | San Jose, California, United States
- Worked on the Merchant Funds Management team to define and implement 4 new features on the PayPal web application for high-value merchants with international footprints
- Added endpoints to the backend layer and developed middleware to provide efficient access to important aggregation data which would help merchants manage hundreds of international accounts

### Quantitative Developer Intern @ Axiz Group
Jan 2021 – Jan 2021 | Lincolnwood, Illinois, United States
- Developed backtesting frameworks and analysis UIs to find ideal machine learning models suited to our trading strategy, optimize their hyperparameters, and select optimal risk thresholds
- Implemented a final machine learning model which averaged +1.4% monthly returns in the Chinese market during a 4-month period of high volatility when the price of the SPDR S&P China ETF (GXC) dropped nearly 10%

### Software Engineer Intern @ LinkedIn
Jan 2020 – Jan 2020 | Sunnyvale, California, United States
- Worked on the Developer Engagement and Insights team to analyze changes in work patterns and productivity for 6,000 employees around the globe amid the COVID-19 pandemic
- Implemented a reusable, extensible, and high-performance library to dynamically compute “working hours” statistics in metrics pipelines, allowing the Insights team to analyze work patterns specific to each of LinkedIn’s globally distributed offices with ease
- Applied my solution to the productivity data of LinkedIn’s “most impactful” projects being run out of different offices and used a bootstrapping algorithm to statistically conclude that work-from-home is correlated with increased developer activity and shorter development times; my work won 1st place during final project demos


## Education
### Master of Computer Science
University of Illinois Urbana-Champaign

### Bachelor of Science - BS in Computer Science and Statistics
University of Illinois Urbana-Champaign


## Contact & Social
- LinkedIn: https://linkedin.com/in/akhil-bhamidipati

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Source: https://flows.cv/akhilbhamidipati
JSON Resume: https://flows.cv/akhilbhamidipati/resume.json
Last updated: 2026-04-05