I am a computer engineer with deep expertise in Machine Learning, Natural Language Processing, and Deep Learning. After earning my MS from Columbia University and receiving the prestigious Jonathan Gross Award for academic excellence, I joined Google in 2017. For over 8 years, I've led multiple impactful projects focused on AI, NLP, and search quality. I'm driven by curiosity, a desire to solve impactful problems, and a passion for elegant engineering.
About Me
What I Do
- Lead technical initiatives for Google's AI Overviews and Search evaluation platforms
- Design and implement large-scale neural models with a focus on factuality for the AI Overviews
- Collaborate with world-class researchers to push the boundaries of NLP and ML
- Mentor engineers and contribute to academic and applied ML communities
Featured Projects
Factuality - AI Overviews
Developed evaluation system and models powering AI Overviews trust signals, ensuring reliable and accurate information delivery to 1B+ Search Users.
Featured Snippets
Developed evaluation frameworks and launched multiple models for Short Answers in Featured Snippets on Google Search, with a patent currently filed and under review.
News Summarization
Research on structured prediction models for summarizing news content with improved accuracy and coherence. Link to the paper.
Automated Content Assessment
Researched automated methods for content assessment of written text and developed an automated technique for grading student writing based on content, published in the International Journal of Artificial Intelligence in Education.
Link to the paper.GRU Optimization
Open-sourced efficient RNN implementations in TensorFlow, contributing to the broader ML community.
Blogs
Resume
Download my detailed resume to learn more about my experience, skills, and achievements in AI, NLP, and software engineering.
Connect with Me
I'm always open to interesting conversations and opportunities. Feel free to connect with me on LinkedIn.