Aug 2021 – Jul 2025 · 3 yrs 11 mos

• Worked across Research, Applied AI, Software Engineering, Data , Infra, GTM , Product and Sales teams to ship the products to our customers. Worked with several large enterprise customers to help them achieve gains through AI & data.
• Worked alongside Generative AI products at Adobe that power different clouds at Adobe.
• Building Agentic workflows and Generative AI interfaces for several of Adobe's products.
• Building agents that help marketers improve their productivity

Oct 2019 – Aug 2021 · 1 yr 10 mos

• Leading the customer engagement for Intelligent Services, Sensei that powers customer's journeys.
• Responsible for understanding the business objectives of customers and translating them into our solutions, building the workflows for data ingestion and model building as well as consumption through APIs.
• Working with product, engineering and sales team on technical features, pricing & scalability, value proposition, user experience and product road map.
• Worked closely with large and medium enterprise customers such as NVIDIA, ESRI, etc., to facilitate them get the value from our AI based intelligent services as shown in the below links.

Apr 2019 – Oct 2019 · 6 mos

• Leading the Beta program as well as the private preview program with Platform of intelligent services such as Attribution AI, Customer AI etc working with several enterprise customers
• Responsible for customer engagement, onboarding new customers onto attribution both internal and external to adobe.
• Built end to end machine learning pipelines that runs attribution on Adobe Analytics event data and delivers daily algorithmic attribution scores.

Jan 2018 – May 2019 · 1 yr 4 mos

• Developed a deep learning based method for multi touch multi-channel attribution
• Our work published in AdKDD 2018 :Deep Neural Net with Attention for Multi-channel Multi-touch Attribution
• Working on Marketing attribution models to attribute conversions to media events like email, search and display marketing.

Mar 2016 – Jan 2018 · 1 yr 10 mos

• R&D statistical models / machine learning models for online advertising
• Modeling data using discrete survival model on spark with distributed Logistic Regression on terabytes of user event data.

Dec 2013 – Feb 2016 · 2 yrs 2 mos

• Building statistical models and automating them to derive the elasticities for each spend and hence the optimum amount of budget to be allocated for each spend.
• Develop and implement ad targeting models that use advanced statistical and machine learning techniques for Search Advertising
• Built intraday models that can help adjust the bids of the keywords according to the observed traffic in the day thereby optimizing on the bids in the near real time