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Gagan Mundada
Intern Machine Learning Engineer specializing in multimodal AI and evaluation benchmarks
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About
ML-focused candidate with beginner ROS/ROS2 experience (custom pub-sub nodes; TurtleBot3 SLAM simulation debugging via topic inspection and transform/orientation checks). Has research/project exposure to LLM training approaches (GRPO with pseudo-labels using Hugging Face TRL on Qwen/Llama) and uses Docker/Kubernetes + CI/CD to run ViT saliency-attention/compression workloads on UCSD Nautilus infrastructure.
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Key Strengths
- Hands-on ROS debugging using topic inspection (rostopic echo) and sensor validation
- Foundational ROS/ROS2 development (custom Python nodes; pub-sub messaging)
- Applied ML/LLM experimentation using Hugging Face TRL with Qwen/Llama
- Practical MLOps experience running jobs via Docker/Kubernetes with CI/CD on a university cluster
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Experience
Education
Skills
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Publications
5 publications
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