As a key member of Google's Applied AI Engineering team, I focus on implementing advanced generative AI components for Vertex AI. This specialized role involves close collaboration with Google DeepMind researchers, GCP product and engineering teams, and strategic customers to translate cutting-edge AI research into practical solutions. My work encompasses a wide range of technologies, including Foundation Model APIs, Search and Conversation systems, Model Garden, and Vector Search.Working at the intersection of research and application, I contribute to the development and integration of sophisticated AI models and products. This unique position allows me to address complex challenges for industry leaders while helping shape the future of AI technology within Google Cloud Platform.

- Technical Leader driving AWS's Machine Learning Vision, serving as Global Head of Strategy & Technical Direction for Amazon SageMaker (2020-2023) and Amazon Bedrock (2023), pioneering enterprise AI transformation initiatives- Led enterprise-scale ML transformation initiatives for Fortune 500 companies, architecting and implementing large-scale NLU/NLP solutions while driving best practices for Amazon SageMaker adoption- Established thought leadership in Generative AI and Large Language Models as a founding member of AWS's early GenAI initiatives, shaping product strategy and implementation approaches across the ecosystem- Drove strategic product direction for key Amazon SageMaker capabilities through close collaboration with product and engineering leadership, including Feature Store, Data Wrangler, Autopilot, Canvas, and JumpStart- Distinguished Speaker at premier AWS events including re:Invent, re:MARS, and global AWS Summits, establishing AWS's vision for ML/AI transformation- Built and led comprehensive enablement programs reaching thousands of AWS employees globally through strategic internal training initiatives and technical leadership sessions- Orchestrated successful GTM strategies and launch campaigns for major SageMaker components, developing comprehensive solution accelerators and reference architectures that drove enterprise adoption- Authored influential technical content and thought leadership pieces advancing AWS's position in the ML/AI space (publications available at https://aws.amazon.com/search/?searchQuery=arunprasath+shankar)

• Question Answering• Multi-turn Conversational Systems• Query Understanding• Search & Relevance

• Oversaw the data-science component, focussing on the use of numerous user level data sources to facilitate digital marketing via conversational bots.• Developed the core Pragmatics engine involving neural networks, text/graph mining techniques for contextual marketing/analytics on social media platforms like twitter, facebook, instagram, youtube etc.• Personally developed & applied machine learning models to support product features.• Managed the procurement, ingestion & processing of various disparate data sources via 3rd party APIs. • Led transition of core modules to the cloud (AWS), to improve scalability & disaster recovery.• Built data pipelines & warehousing backend for dataset ingested from APIs, web-scraping & purchased data-feeds.

About Hansya LLC:An avant-garde AI Incubator revolutionizing Digital Marketing Tech and crafting the future with AI-driven solutions, enabling brands to unlock their potential.Roles & Responsibilities:• Defined Hansya's tech vision & strategy.• Aligned business goals with tech deliverables alongside co-founders.• Managed the entire lifecycle of AI marketing products.• Directed a talented team of engineers, data scientists, and product leaders.• Promoted R&D, instilling a culture of relentless innovation.Achievements:• Secured $500k seed funding, validating our vision.• Developed advanced pragmatics engine for contextual marketing insights.• Deployed AI bots for top brands, including Abercrombie & Fitch, Liberty Mutual, Wendy's and more.• Served diverse sectors, from politics to finance.• Boosted numerous small businesses, cultivating strategic partnerships.

- Served as a founding engineer, leading the charge in devising and executing scalable data strategies and establishing a team dedicated to advancing data-driven product initiatives.- Pioneered the design and productionization of advanced machine learning models, adept at distilling firmographic insights from primary data sources, including extensive job postings and resumes.- Engineered a robust, scalable, and distributed infrastructure for geo-location parsing, strategically optimized to meet and exceed the evolving performance criteria of a burgeoning user base.- Developed a sophisticated character set recognition model for a diverse array of Asian languages - specifically CJKV (Chinese, Japanese, Korean, and Vietnamese) - as well as for Spanish and German data, enhancing global data compatibility and processing efficiency.

World Well-Being Project | Positive Psychology Centerunder Prof. MARTIN E.P. SELIGMAN• WWBP is an interdisciplinary non-profit collaboration between computer scientists & psychologists pioneering research for measuring physical & psychological well-being based on language in social media.• Developed algorithms & tools to leverage large datasets (billions of tweets, facebook messages, news articles etc.) to further understanding of human health & well-being.

- in collaboration with Case Western Reserve University• Developed a rule-based expert system for retrieval & verification of hardware specs & data-sheets.• Envisioned methodologies to create domain-specific lexicons & ontologies, which were in turn used for feature engineering & knowledge discovery of retrievable entities. Implemented in NASA’s CLiPS language. • Proposed novel Graph (faceted) search ideas and algorithms.

• Developed automation tools to process data across multiple scanners to aggregate reports.

• Lead SEO market research, competitive analysis, link prospecting & acquisition.• Recommended changes to website architecture, content & linking to improve target keywords. • Identified trends & insights in order to achieve maximum ROI in paid search campaigns.• Performed ongoing keyword discovery, expansion and optimization.