Experience
My journey through research labs, internships, and open source contributions in AI and machine learning.
InternshipCurrent
Jun 2025 - PresentML Research Intern
TechCorp AI Labs • San Francisco, CA
- Developing novel attention mechanisms for vision transformers, achieving 15% accuracy improvement with 40% fewer parameters
- Implementing efficient inference pipelines using TensorRT and ONNX for edge deployment
- Collaborating with senior researchers on multimodal learning research for upcoming CVPR submission
PyTorchCUDATensorRTTransformers
ResearchCurrent
Sep 2024 - PresentAI Research Assistant
Stanford AI Lab • Stanford, CA
- Contributing to research on multimodal learning and efficient transformer architectures
- Developed data processing pipeline handling 10TB+ of image-text pairs for pretraining
- Co-authored 2 papers on efficient attention mechanisms accepted to top-tier venues
JAXTPUFlaxBigQuery
Internship
Jun 2024 - Aug 2024Machine Learning Engineer Intern
StartupAI • Remote
- Built real-time object detection system achieving 60fps on edge devices using TensorRT optimization
- Developed MLOps pipeline with automated training, evaluation, and deployment using Kubernetes
- Reduced model inference latency by 65% through quantization and kernel fusion techniques
PythonTensorRTDockerKubernetes
Open SourceCurrent
Jan 2023 - PresentOpen Source Contributor
Hugging Face • Remote
- Contributing to the transformers library with focus on model optimization and inference
- Implemented support for new model architectures including LLaMA and Mistral variants
- Authored documentation and tutorials with 50K+ views on efficient fine-tuning techniques
PythonPyTorchTransformersGit
Academic
Sep 2023 - Jun 2024Teaching Assistant
Stanford University • Stanford, CA
- TA for CS229 (Machine Learning) and CS231N (Computer Vision)
- Conducted weekly office hours helping 200+ students with assignments and projects
- Developed new programming assignments on attention mechanisms and transformers
PythonNumPyPyTorchJupyter