About Me
Learn about my journey in AI/ML and what drives my work
I'm an AI Engineer and Data Scientist with 5+ years of experience building production ML systems at scale. I specialize in large language models, computer vision, and data engineering. I've led teams to deliver end-to-end ML solutions that drive business impact, from concept to deployment to monitoring. When I'm not coding, I'm sharing knowledge through writing and speaking at conferences.
Professional Experience
Senior ML Engineer
Tech Corp AI
Leading ML infrastructure and building production LLM applications.
- Led development of LLM inference pipeline serving 500K+ requests/day
- Built end-to-end ML monitoring and observability system
- Mentored team of 5 engineers on ML best practices
- Reduced model serving latency by 60% through optimization
Machine Learning Engineer
DataFlow Systems
Developed computer vision and data engineering pipelines.
- Built real-time object detection pipeline processing 1M images/day
- Designed and implemented data lakehouse architecture
- Reduced data processing time by 70% through optimization
- Published 2 papers on efficient ML systems
Data Scientist (Contractor)
StartupXYZ
Built predictive models and analytics infrastructure.
- Developed churn prediction model with 88% accuracy
- Increased product engagement by 35% through personalization ML
Education
M.S.
University of California, Berkeley
Computer Science (AI/ML) • August 1, 2018 - May 1, 2020
Focused on machine learning, deep learning, and natural language processing.
- GPA: 3.9/4.0
- Dean's List all semesters
- Published research on efficient transformers
B.S.
Stanford University
Computer Science • September 1, 2014 - May 1, 2018
Strong foundation in algorithms, systems, and applied mathematics.
- GPA: 3.85/4.0
- Completed coursework: Advanced ML, Data Mining, Algorithms
- Research assistant at AI Lab