# Parth Parmar

> ML Infra @ Amazon Ads

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

I am a Senior Software Engineer specializing in ML infrastructure and distributed systems that power production AI platforms. My work spans synthetic data generation, LLM evaluation, reward systems, and agent frameworks enabling scalable, context-aware AI workflows. Previously at Aryn.ai and AWS, I built large-scale data and analytics systems. I’m particularly interested in agentic AI, model alignment, and infrastructure that makes ML systems reliable and production-ready.  

I believe that my excellent communication skills, creativity, critical thinking and problem-solving skills make me an ideal candidate for a growth focused fast-paced work environment. Always happy to connect with others working on ML platforms and distributed systems.

https://pparmar15.github.io/personal/

## Work Experience
### Software Engineer @ Amazon
Jan 2024 – Present | New York, NY
- Advertiser facing AI Agent Infrastructure
- Synthetic Data Generation for Post-Training (SFT)
- LLM Evaluation and RL Infrastructure

### Software Engineer (Founding Team) @ Aryn AI
Jan 2023 – Jan 2024 | Mountain View, CA
- The Design of an LLM-powered Unstructured Analytics System : https://arxiv.org/abs/2409.00847
- AI-powered document processing engine : https://github.com/aryn-ai/sycamore

### Software Engineer @ Amazon Web Services (AWS)
Jan 2020 – Jan 2023 | Palo Alto, CA
• Optimization of Iceberg tables on AWS LakeFormation : https://docs.aws.amazon.com/lake-formation/latest/dg/data-compaction.html

### Software Engineer Intern @ Flipp
Jan 2019 – Jan 2019 | Toronto, Ontario, Canada
• Developed a digital publishing platform using Apache Kafka, Node and TypeScript

### Software Engineer Intern @ Citi
Jan 2019 – Jan 2019 | Toronto, Ontario, Canada
• Worked in the Capital Markets Origination Group integrating several micro-services with Apache Kafka by writing a common library in order to adhere to an event-driven architecture

• Technologies: Git, Java, Spring Boot, Oracle, Apache Kafka, JUnit, Cucumber and Gherkin

### Research Intern (Computational Linguistics Lab) @ University of Toronto
Jan 2018 – Jan 2018 | Toronto, Ontario, Canada
• Undergraduate Summer Research Award 
• Utilising machine learning models to determine cause-of-death categories from a written description of person’s symptoms leading up to death

### Mechanical-IT Engineering Intern @ Autoliv
Jan 2015 – Jan 2016 | Markham, Ontario, Canada


## Education
### Bachelor of Applied Science (BASc) in Mechanical Engineering
University of Toronto
Jan 2012 – Jan 2019


## Contact & Social
- LinkedIn: https://linkedin.com/in/parth-parmar
- Website: https://pparmar15.github.io/personal/

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Source: https://flows.cv/parthparmar
JSON Resume: https://flows.cv/parthparmar/resume.json
Last updated: 2026-03-23