# Gursharan Ahir

> Software Engineer @ Google | UC San Diego | IIT Kharagpur

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/gursharan

Hey! 

I am a Software Engineer at Google Cloud, and currently working on myriad of things including Recommendation Systems Infra, Control plane and Data plane APIs, and so on for AlloyDB :)

I completed my Masters in Computer Science from UC San Diego with focus on Computer Vision and Artificial Intelligence. 

Previous to that, I worked on low latency embedded development at Microsoft, and have also worked in Samsung Research as a Machine Learning intern.

I am a curious learner and always try to make the best use of opportunities to experiment, work and improve in new domains. 

My areas of interests include:

• Distributed Systems
• Machine Learning and Computer Vision

If you have collaborative ideas or interesting opportunities, feel free to reach out!

## Work Experience
### Software Engineer III @ Google
Jan 2024 – Present | Sunnyvale, CA
AlloyDB Platform Infra Team

Projects I worked on:
• Added API support in Control Plane for AlloyDB for super fast restore from CloudSQL (Link attached)
• GA for AlloyDB Recommenders (Link Attached)

### Software Engineer II @ Google
Jan 2023 – Jan 2024 | Sunnyvale, CA
AlloyDB Platform Infra Team

Projects I worked on:
• Built End to End Recommendation Systems Infra for AlloyDB (Links attached)
• Enhanced Query Insights integration with AlloyDB Control Plane and Data Plane (Link attached)
• Built Client facing library for using Experiments Infra in AlloyDB Data Plane (Internal)

### Software Engineering Intern @ Google
Jan 2022 – Jan 2022 | Sunnyvale, CA
• Prototyping Recommendation Systems for AlloyDB

### Student Programmer | Jun Lab @ UC San Diego
Jan 2021 – Jan 2022 | San Diego, California, United States
• Development of napari plugin of Jun lab’s deep-learning based image analysis software
• Project funded by Chan Zuckerberg Initiative (CZI) under the Napari Plugin Accelerator Grants 2022
• Led to a publication in eLife journal: https://elifesciences.org/articles/88463

### Software Engineer @ Microsoft
Jan 2020 – Jan 2021 | Bengaluru, Karnataka, India
• Developed the next generation of embedded software for the micro-controller integrated in Microsoft Surface products
• Participated in Hackathon 2020 and Summer FHL 2021

### Machine Learning Intern | CSE Department @ Indian Institute of Technology, Kharagpur
Jan 2020 – Jan 2020 | Kharagpur, West Bengal, India
• Worked on Meta Transfer Learning to perform semantic segmentation

### Intern (Machine Learning) @ Samsung India
Jan 2019 – Jan 2019 | Noida Area, India
• Worked on Text Conditioned Image Construction

### Research Intern @ University at Buffalo
Jan 2018 – Jan 2019
• Worked in the field of Circuits for ML specifically design of low power consumption chaotic true random number generator


## Education
### Master of Science - MS in Computer Science and Engineering
UC San Diego
Jan 2021 – Jan 2022

### Bachelor of Technology - BTech in Electronics and Electrical Communication Engineering
Indian Institute of Technology, Kharagpur
Jan 2016 – Jan 2020


## Contact & Social
- LinkedIn: https://linkedin.com/in/gursharan123

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Source: https://flows.cv/gursharan
JSON Resume: https://flows.cv/gursharan/resume.json
Last updated: 2026-03-22