As the Director of Product Management at Moloco, a premier Machine Learning company and top-tier DSP operating across America, EMEA, and APAC, I lead a dynamic team responsible for driving business impact and delivering customer value in three critical areas:* Machine Learning/AI Models: Orchestrating advanced ML/AI models to optimize performance, ensuring precise user targeting at the right time.* Privacy Expertise: Spearheading initiatives in response to industry shifts, particularly in navigating Apple ATT, SKAdNetwork, and Android Privacy Sandbox to uphold user privacy standards.* Ads Delivery Infrastructure: Overseeing the Ads Delivery Infrastructure, including Bidding, Pacing, and Pricing strategies, to enhance overall campaign effectiveness.Team Management:I lead a geographically distributed PM team across CA, NY, and WA, collaborating seamlessly with global stakeholders. Our cross-functional collaboration involves engaging with engineering teams (ML, Infra, Data Science, Data Analytics) and non-engineering teams (Sales, Growth Manager, GTM, Product Support, PMM, etc.) spanning the US, EMEA, and APAC regions.Achievements:* Successfully implemented cutting-edge ML models resulting in optimized campaign performance.Navigated and adapted strategies in response to industry privacy changes, ensuring Moloco's compliance and user trust.* Orchestrated improvements in Ads Delivery Infrastructure, enhancing campaign delivery and client satisfaction.

I am glad that I followed my instinct and joined another amazing Startup instead of returning to large tech corporations. At Coupang, I partner with a super-intelligent and passionate engineering/product leadership team to bring value to Coupang advertisers and improve buyers' experience. We live by our motto to provide an unmatched customer experience, so people ask, "How did we ever live without Coupang?" I am responsible for building products and platforms that continually improve Ranking, Auction, and Ad quality, which is core to the Coupang Advertising platform.

Led engineering and product management team to focus on Machine Learning and Developer infrastructure at Lyft based on scalable frameworks and tools/services built on next-generation technologies like Kubernetes, Terraform, GitHub Enterprise, etc.

* Responsible for managing large and complex ML training data infrastructure* Leading cross-group programs across Product and Infra team for managing the Advertising Big Data Storage for Ads Machine Learning scenarios* Bootstrapping a cross-functional team (TPMs, Production Engineering, Data Engineering, etc.) for managing data privacy with Ads Infra (Clear History - Zuck Pri project)

* As a Product Technical Program Manager in the Facebook Advertising Product Platform organization, I focus on the Facebook platform (backend storage system, middle-tier services, and Marketing APIs) that power customer-facing UX interfaces (Ads Manager, PowerEditor, Ads Manager Mobile, Business Manager, etc.) * I am working very closely with core Advertising and Infrastructure team across the Facebook to re-architect the current storage system that can scale with growing need of Facebook advertising products.* As part of Ads Product Platform team, I am also responsible for managing the Facebook Marketing API (aka Ads API) - I work across 10+ internal partner teams who own, design and ship various APIs as part of Marketing API umbrella. I manage Marketing API releases, depreciation and migration of first-party Facebook UX Interfaces to the latest API version.* Partner very closely with Engineering team, Product Managers, and Product Marketing Managers to define, prioritize and manage roadmap features.* I also work with cross-functional partners like Data Scientist, Production Engineering, Product Quality to make key decisions for the product's design, quality, scalability, and reliability * I also participate and drive the technical incident management program for entire Ads group. I collaborate very closely with the production engineering team run and manage Ads wide reliability program and establish the guidelines for the incident detection, escalation, and resolution of the production incidents that are impacting and degraded customer (Facebook users and advertisers) experience.

My first role at Facebook was as an IC TPM in the Infrastructure Capacity team responsible for managing the capacity and reliability of the various product groups including Facebook Ads (Delivery, Interfaces, Measurement, Growth & Solutions). * I was responsible for building a capacity model for both Compute and Storage services for the product groups * Responsible for end-to-end capacity management e.g., ad-hoc/planned requests, quarterly capacity planning, Long Range Planning (LRP) models * Scoping, Designing, Feature prioritization of the internal tool for requesting/managing the capacity for the Ads organization* Drove efficiency and reliability program for product/services for Ads organization and collaborated with the Facebook-wide reliability programs

I was responsible for enabling core infrastructure features and groundbreaking technologies in the Azure Hypervisor and OS that is helping the platform Azure compute platform to improve the availability of customer services.In last 5 years, I have been working in the Azure Core OS group where I lead the end to end execution (planning, engineering, deployment) of multiple Host OS upgrades for various core Azure services (Compute Hypervisor, Storage, SQL Azure, Software Load Balancer, etc.) while maintaining the compute SLA for the platform as a whole.

I was responsible for enabling core infrastructure features and ground breaking technologies in the Azure Hypervisor and OS that is helping the platform Azure compute platform to improve the availability of customers services.In last 5 years, I have been working in the Azure Core OS group where I lead the end to end execution (planning, engineering, deployment) of multiple Host OS upgrades for various core Azure services (Compute Hypervisor, Storage, SQL Azure, Software Load Balancer etc.) while maintaining the compute SLA for the platform as a whole.

Microsft Online Product and Services (MSN Display Advertising, Single Sign-on, Hotmail, Messenger, etc.)

I joined NTL (think of Comcast/Xifinity of London metro area), the company was one of leading provider of cable in London and UK. I joined as a intern through Wipro Technologies for half a year contract. I worked with savvy engineers and product management team to build automation of data collection system using SNMP (Perl and DBI/DB interfaces) and build a data warehouse to gather and report on the key technical and business metrics for the system.

Sun Microsystems (consultant from Wipro Technologies)Focused on Solaris Kernel development and developer support. Advance debugging skills using GDB to troubleshoot kernel issues of memory leaks, system hangs because of traps etc.I also focused on automatic basic performance collection tasks and built a distributed task management system using NFS, crontab,