Hi, I'm Anish Shenoy - Staff Software Engineer at Google
I'm a Staff MLE at Google, passionate about building impactful AI solutions, especially large language models. I thrive on tackling complex, interdisciplinary challenges using machine learning and computer vision to drive innovation.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Led foundational research and applied data science at Intel.
Currently a Staff ML Engineer at Google, developing Gemini LLMs for Shopping Ads.
Can help others by sharing expertise in LLM development and interdisciplinary ML problem-solving.
🚀 Career trajectory
Foundational Research & Internships
Early exposure to computer vision and research during internships and fellowship.
✦ Computer Vision
✦ Research Fellow
Data Science at Intel
Applied data science techniques to solve industry problems.
✦ Data Science
✦ Intel
✦ Industry Application
Staff ML Engineer at Google
Leading development of advanced LLMs for high-impact products.
✦ Machine Learning
✦ LLMs
✦ Product Impact
💪🏻 Superpowers
LLM Innovation Architect
Pioneering advancements in Large Language Models.
✦ Developing Gemini-based LLMs for Shopping Ads Relevance.
✦ Applied deep learning and NLP to enhance user experience.
✦ Leveraging C++, Python, PyTorch, and TensorFlow.
Interdisciplinary Problem Solver
Bridging diverse technical domains.
✦ Tackles complex problems using CV, DL, statistics, and applied math.
✦ Translates theoretical concepts into practical solutions.
✦ Experience across multiple tech companies and research roles.
Recognized Technical Contributor
Driving impactful projects with proven results.
✦ Current Staff MLE at Google, focusing on cutting-edge LLMs.
✦ Received a Google Tech Impact award for team contributions.
✦ Committed to advancing technology and its applications.
I'm excited about
✦ Exploring novel applications of LLMs in diverse domains.
✦ Connecting with experts pushing the boundaries of AI.
✦ Seeking opportunities to contribute to groundbreaking research.
I can help with
✦ Share insights on building and deploying large language models.
✦ Provide guidance on interdisciplinary ML problem-solving.
✦ Offer perspectives on navigating tech career growth.
I would love your help on
✦ Discovering emerging trends in AI research.
✦ Connecting with leaders in the AI/ML community.
✦ Finding collaborators for ambitious AI projects.