Global Product Manager

• Apr 2023 - Present

Leading the first party data product and strategy at MiQ

Global Product Manager

• Oct 2022 - Apr 2023

Led the data cleanroom product portfolio consisting of Snowflake and Ads Data Hub

Associate Product Manager

• Jan 2021 - Sep 2022

Jan 2022 - Sept 2022: Leading the product line for Data Cleanrooms alongside the Senior Product Manager. A cleanroom is a privacy-by-design infrastructure that allows advertisers to onboard and match their first party data with other datasets to run analytics, activation, and measurement use-cases for targeted advertising across the open and closed web. This product portfolio is partner/vendor agnostic and incorporates - Ads Data Hub by Google, Amazon Marketing Cloud, and Snowflake - amongst an ever growing list of partners.2021: Headed the product development of Studio, a data ingestion and workflow orchestration product, under the guidance of the Global Product Lead. The product aims to provide a self serve data ingestion and analytics capability to Business & Product Analysts, Data Scientists, and Solution Engineers to draw insights from petabytes of data to power MiQ's industry leading performance on advertisement campaigns Show less

Software Development Engineer

• Jul 2019 - Dec 2020

Worked towards ingesting batch/real-time data at scale for MiQ. Developing maintainable and robust microservices with a focus on REST APIs, event-driven architecture, lightweight serverside technologies, relational + NoSQL databases, and Big data technologies like Streamsets, Apache Nifi, Apache Spark amongst others. Worked extensively with cloud infrastructure in AWS like S3, Redshift, Kinesis, EKS, and others.Additionally, lead the design and implementation of a real-time data capture service to fetch fresh insights from partner websites/apps, thereby aiding MiQ's growth in the India market in the process.Engaged in cross-team collaboration to build a fast-growing, reliable, and state of the art data ingestion service powering insights for better market research at MiQ. Show less

Software Development Intern

• Jan 2019 - Jun 2019

Deep Learning Intern

• May 2018 - Jul 2018

Worked on building a neural network based on the e-NAS Google research paper which performs an efficient search on a sample space of neural networks using reinforcement learning, in order to find the optimal neural network to perform multiple image recognition tasks (Objects, texts, and faces) through one network. Written in Keras, Python. Won an individual Hackathon by building an intrusion detection system in OpenCV that checked for tampering of cameras and people moving in and out of "safe zones", all in real-time on a video feed. Show less

iOS Development Intern

• May 2017 - Jun 2017

Built an iOS application for a social graph-based dating startup in Swift from the ground-up. Dealt with Facebook based authentication, rest calls to a hosted server and rendering them to a myriad of views. Additionally, worked on caching user information, and optimizing the time taken for client-side computations. This app is now live in the App Store. Built an iOS application for a social graph-based dating startup in Swift from the ground-up. Dealt with Facebook based authentication, rest calls to a hosted server and rendering them to a myriad of views. Additionally, worked on caching user information, and optimizing the time taken for client-side computations. This app is now live in the App Store.