# Ashwin Ramesh

> Full Stack AI Engineer | Continual AI

Location: Albany, California, United States
Profile: https://flows.cv/ashwinramesh

## Work Experience
### Full Stack AI Engineer @ Continual
Jan 2024 – Present | San Francisco Bay Area

### Machine Learning Platform Engineer @ Continual
Jan 2021 – Jan 2024

### Deep Learning Systems Software Engineer @ NVIDIA
Jan 2020 – Jan 2021 | Santa Clara County, California, United States
- Developer on Triton Inference Server, optimizing GPU-based inference orchestration.
- Led creation of Triton Model Analyzer, streamlining workload agnostic configuration optimization for Triton Inference Server on NVIDIA GPUs.
- Enhanced performance tuning via parameter search algorithms and detailed reporting of latency vs throughput curves.

### Graduate Teaching Assistant @ University of Illinois at Urbana-Champaign
Jan 2018 – Jan 2020 | Urbana-Champaign, Illinois Area

### Software Development Intern @ NVIDIA
Jan 2019 – Jan 2019 | Santa Clara, California
- Implemented performance improvements and cloud model-store integration in the TensorRT inference server.

### Software Intern @ Cloudera
Jan 2018 – Jan 2018 | San Francisco Bay Area
- Researched libraries for Distributed Machine Learning on Cloudera Data Science Workbench
- Prototyped distributed deep learning examples and documented platform requirements to replicate at scale.
- Integrated a distributed computing engine known as Ray with CDSW.
- Improved dependency management in Ray by adding support for container orchestration framework known as Kubernetes.
- Using Kubernetes python client, added pod auto-scaling support to Ray’s node scaler, allowing users to have a “serverless” distributed computing API on a Kubernetes enabled cluster.

### Hadoop Core Software Intern @ Yahoo
Jan 2017 – Jan 2017 | Urbana-Champaign, Illinois Area
	Worked on core elements of both the open source Apache Hadoop big data platform as well as internal platform deployed on research and production clusters.
	Handled important customer and community issues primarily through JIRA.
	Created patches and features in several elements of the Hadoop Core framework such as HDFS, TEZ and YARN.
	Added metrics in Hadoop IPC layer, as well as in the HDFS Namenode that facilitated error detection in congestion events.
	Introduced metrics in TEZ that detected idle time in shuffle stages.
	Created infrastructure in YARN to mitigate effect of log intensive jobs on disk space.

### Undergraduate Teaching Assistant @ University of Illinois at Urbana-Champaign
Jan 2016 – Jan 2017 | Urbana-Champaign, Illinois Area
	Guide 300 students with projects/assignments in the systems lab. Job awarded for exceptional performance in course.
	Teaching methods for assignments and projects as well as grading exams and student work.
	Testing and debugging the kernel developed by students for the final projects.


## Education
### Master's degree in Computer Science
University of Illinois Urbana-Champaign

### Bachelor’s Degree in Computer Science
University of Illinois Urbana-Champaign


## Contact & Social
- LinkedIn: https://linkedin.com/in/ashwin-ramesh-48222a113

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