# Avinash Arjavalingam

> Software Engineer at LinkedIn

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

I am a software engineer at LinkedIn. I have a BS and MS in Computer Science from the Electrical Engineering and Computer Science (EECS) department at University of California, Berkeley. I have experience in data / ML infrastructure engineering.

## Work Experience
### Software Engineer @ LinkedIn
Jan 2024 – Present | Sunnyvale, California, United States

### Software Engineer @ Abacus.AI
Jan 2021 – Jan 2024 | San Francisco, California, United States
- Owned and optimized performance of the Abacus external data connector suite supporting all major cloud provider storage offerings and SaaS database services such as Snowflake, Databricks, and BigQuery
- Increased throughput, decreased memory footprint, and enabled parallel scaling of the distributed batched inference service
- Designed and implemented asynchronous LLM APIs / bots which allowed multiple users to have ChatGPT- like group conversations with Abacus LLMs in communication platforms such as Slack and Microsoft Teams
- Created PySpark-based incremental datasets from database services for ETL into product
- Built periodic full execution of cloud-hosted Jupyter notebooks for data science using scripting inside Kubernetes deployments
- Implemented functionality to create / update custom ML models using customer-provided python code

### Graduate Student Researcher @ Berkeley RISE Lab
Jan 2020 – Jan 2021 | Berkeley, California, United States
- Worked on automated machine learning systems in Professor Aditya Parameswaran’s group
- Developed Cloudburst-based system which generates warm starts for ML pipelines
- Added memory multiplexed GPUs / scheduling algorithms to Cloudburst serverless project

### Undergraduate Research Assistant @ Berkeley RISE Lab
Jan 2017 – Jan 2020 | Berkeley, California
- Worked on the RISELab Cloudburst project with Professor Joseph Hellerstein
- Deployed pre-trained ML models on the Cloudburst serverless framework to provide autoscaling resource allocation for inference functions
- Built a space efficient algorithm for asynchronously aggregating and reporting keys across distributed server nodes in Cloudburst with high and low frequencies of access.
- Worked on Ground project: www.ground-context.org with graduate student Vikram Sreekanti, in Professor Joseph Hellerstein's group
- Added support for non-primitive datatype inputs for Ground
- Created Ground implementation using Git repositories and functionality to construct a time-complexity efficient RESTful API for accessing Ground objects

### Software Engineering Intern @ Uber
Jan 2019 – Jan 2019 | Palo Alto, California
- Created an automated health report generator to monitor CPU and Memory usage of Apache Flink pipelines by the Uber AthenaX streaming analytics platform
- Implemented a Python-based metric scraping framework for analyzing and storing timeseries data for AthenaX
- Analyzed the resource usage efficiency of different types of AnthenaX pipelines

### Software Engineering Intern @ NVIDIA
Jan 2018 – Jan 2018 | San Francisco Bay Area
- Architected and developed the Jenkins-based Continuous Integration/ Continuous Development automation platform for an NVidia chip diagnostic application
- Designed the Selenium UI-testing framework for the diagnostic application, and integrated it with the previously mentioned Jenkins CI/CD platform
- Composed an internal tutorial for the NVidia Jenkins CI/CD server setup on Atlassian-Confluence


## Education
### Master's degree in Electrical Engineering and Computer Science (EECS)
University of California, Berkeley

### Bachelor’s Degree in Electrical Engineering and Computer Science (EECS)
University of California, Berkeley


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

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Source: https://flows.cv/avinasharjavalingam
JSON Resume: https://flows.cv/avinasharjavalingam/resume.json
Last updated: 2026-03-29