Saurabh Bajaj

About Saurabh Bajaj

In the summer of 2023 I worked as a Graduate Researcher at UMass Amherst under Prof. Marco Serafini and Prof Hui Guan on Graph Neural Networks and studied the distributed training aspect utilizing multi-node multi-GPU training of Deep Learning models.In the summer of 2022 I interned as a Machine Learning Engineer at PathAI on Robustification of Multi instance learning models. Previously I worked as a Software and Data Engineer at Airbus\' Methods and Tools team, where I contributed to the development of ETL data pipelines.My strengths lie in Applied AI, Computer Vision, Deep Learning, Distributed Training, Software Engineering and Data Engineering.I am gearing up for full time roles in Machine Learning and Software Engineering roles in Computer Vision, Generative AI, LLMs, GNNs, starting January 2024.

Experience

1. Machine Learning Engineer 2

   Illumio

   Jun 2024 — Present · Sunnyvale, CA, US

   Cybersecurity- GenAI- Graph Neural Networks- Deep Learning- Machine Learning- Threat Hunting- Analytics- MLOps- Azure, AWS- Jenkins, ArgoCD

Education

• University of Massachusetts Amherst

  Master of Science - MS, Computer Science

• Indian Institute of Technology, Bombay

  Bachelor's degree + Master's Degree, Mechanical Engineering

Skills

• Customer Service
• Solidworks
• Matlab
• Teamwork
• Windows
• Engineering
• Autocad
• English
• Microsoft Word
• Photoshop
• Management
• C++
• Mechanical Engineering
• Data Analysis
• Microsoft Excel
• Powerpoint
• Research
• Cad
• C
• Programming
• Microsoft Office