Anusha Ramesh Email & Phone Number
@google.com
4 phones found area 267, 772, and 795
LinkedIn matched
Who is Anusha Ramesh? Overview
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Anusha Ramesh is listed as Co-Founder at stealth mode ai company, based in Sunnyvale, California, United States. AeroLeads shows a work email signal at google.com, phone signal with area code 267, 772, 795, and a matched LinkedIn profile for Anusha Ramesh.
Anusha Ramesh previously worked as Product Lead, Generative AI at Google Deepmind and Product Lead, Generative AI, Google Brain at Google. Anusha Ramesh holds Master Of Science, Information Networking from Carnegie Mellon University.
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AeroLeads found 1 current-domain work email signal for Anusha Ramesh. Compare company email patterns before reaching out.
About Anusha Ramesh
~10 years of product experience building and launching consumer & enterprise ML products. Recently focusing on Generative AI efforts at Google Deepmind across multiple modalities (Image / Video - Imagen & Phenaki, Speech - USM and LLMs). Prior to this, I was product lead for TFX, ML production platform powering many ML models in Google's flagship products (Search, YouTube, Ads) used by billions of users.PM with engineering background (MS from CMU, worked as software engineer before switching to PM).Speaker on ML in Production and ML for Product Managers - Women in Product https://bit.ly/38ewnE4- AINEXTCon2020, Seattle http://aisea20.xnextcon.com/- TF World 2019 https://bit.ly/2YI1HYn
Listed skills include Product Management, Data Analysis, Tableau, User Testing, and 31 others.
Anusha Ramesh's current company
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Anusha Ramesh work experience
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Product Lead, Generative Ai
Product Lead, Generative Ai, Google Brain
Product Lead, Generative AI - (present) - Leading PM team focused on Generative AI efforts across multiple modalities - Image/Video: Led internal launch for Imagen-based text-to-image generator and editor. Launched media generation playground for internal user feedback. Defined training data and infrastructure strategy for media generation. - Speech: Defined and led the product strategy for Universal Speech Model (USM), Google’s state-of-the-art speech AI for 100+ languages. - Language: Launched LLM-based classifiers in Google’s flagship products such as YouTube.- Launched “Sounds of India” an interactive AI powered musical experience for India’s independence day to transform the user's voice to Indian instruments. 150K users, ~50M YouTube views. Product Lead, MLProduction Platform, Tensorflow Extended (TFX) (2018 - 2021) - Led the development of ML platform powering key products at Alphabet (Google Search, YouTube, Android) and several external enterprises (Twitter, Spotify)- Led TensorFlow Extended (TFX), ML production platform. Redesigned platform for flexibility. - Launched versatile use-cases both internally at Google and externally for enterprise, including: - BERT for Google Search and Ranking (serving nearly 100% of search queries & X billion users) - Native TF support for Mobile & Edge (TFLite & TFJS) to power Android on-device workflows - ML pipelines in Cloud for enterprise customers like Twitter, Spotify, OpenX, etc- TFX open source SDK (10M+ downloads)Received “Excellence in Leadership” award in Google Brain and two “Research Tech Impact” Awards.
Product Manager, Personalization
The leader in fashion personalisation, Dressipi empowers retailers to give each customer their own tailored shopping experience both online and instore. Dressipi provides retailers with data driven, actionable insights on why customers buy and return specific products.Role & ResponsibilitiesLed the design & development of an innovative AI-driven fashion mobile app that enhances in-store shopping experience by providing personalized, location-based recommendations across multiple retailers. Designed a conversational chat-bot interface for users to search & discover outfits tailored to their style from multiple retailers. The app was selected as a finalist for “The Rodney Fitch Award for Innovation and Creativity” award and presented at the World Retail Congress Awards 2017 held at Dubai.Played a key role in identifying product market fit in order to scale the app to the next level of funding.Identified key user personas & conducted surveys with 3000+ target users to prioritize features.Worked with the co-founder to shape product strategy & refine KPIs.
Product Manager
Grub Club (Acquired by Viz Eat) is an online market place (connecting chefs & diners) for communal and unique themed dining experiences. Grub Club helps discover hidden dining in spaces you never knew existed from clock towers to museums to London landmarks. Role:Launched a new web platform with improved event discovery & booking experience.Led a cross functional team of back-end developers, freelance designers and front-end developers spread across different countries (UK, USA and India) over multiple successful product release cycles.Increased home page conversion and event page conversion by 30-40% by running A/B experiments to improve user journey. Initiated and implemented A/B testing methodologies to make data driven decisions for feature launches.Reduced product release cycle time by 50% by introducing agile practices.Reduced manual effort by over 30% by releasing multiple features to automate event purchase process.Key Responsibilities:Product Development Management (using Agile Methodologies)Product Backlog Management and Feature Prioritization Driving new features based on user feedback / competition analysisClosely worked with the marketing team to improve sales
Software Engineer
Cisco Firewall ASA (Trustsec Inline Tagging) Led the development of a feature which made it easy for customers to define & manage security policies.Collaborated with field engineers to develop use-case scenarios for varied customer deployments.Managed complex dependencies with other features to ensure seamless integration of new features. Led the entire software development cycle using Agile methodologies.Cisco Load BalancerHandled incoming customer issues in the load balancer switch. Took ownership of the application inspection module in the load balancer and helped fix crucial issues. Web service Designed and implemented a web proxy prototype for a web service based project. Appreciated and awarded for taking the initiative and successfully developing the prototype within a short span of time.
Software Engineer Intern
Designed, implemented and tested the first prototype for a mobile application and web service to help teachers record attendance for school students.
Software Engineer Intern
Anusha Ramesh education
Master Of Science, Information Networking
Bachelor Of Engineering, Electronics And Communication
Education record
Frequently asked questions about Anusha Ramesh
Quick answers generated from the profile data available on this page.
What company does Anusha Ramesh work for?
Anusha Ramesh works for stealth mode ai company.
What is Anusha Ramesh's role at stealth mode ai company?
Anusha Ramesh is listed as Co-Founder at stealth mode ai company.
What is Anusha Ramesh's email address?
AeroLeads has found 1 work email signal at @google.com for Anusha Ramesh at stealth mode ai company.
What is Anusha Ramesh's phone number?
AeroLeads has found 4 phone signal(s) with area code 267, 772, 795 for Anusha Ramesh at stealth mode ai company.
Where is Anusha Ramesh based?
Anusha Ramesh is based in Sunnyvale, California, United States while working with stealth mode ai company.
What companies has Anusha Ramesh worked for?
Anusha Ramesh has worked for Stealth Mode Ai Company, Google Deepmind, Google, Product School, and Dressipi.
How can I contact Anusha Ramesh?
You can use AeroLeads to view verified contact signals for Anusha Ramesh at stealth mode ai company, including work email, phone, and LinkedIn data when available.
What schools did Anusha Ramesh attend?
Anusha Ramesh holds Master Of Science, Information Networking from Carnegie Mellon University.
What skills is Anusha Ramesh known for?
Anusha Ramesh is listed with skills including Product Management, Data Analysis, Tableau, User Testing, Product Development, Product Design, A/B Testing, and Customer Oriented.
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