I lead the Partner Technology organization. We build partner (Hotels, Airlines, Cars, Cruse lines etc.) facing tools, connectivity APIs, and services for distribution to B2B and B2C traveler facing experiences. We connect to diverse range of partners across several business lines through Partner Central (app/web) portals and connectivity APIs both direct and through third party distribution systems. We own distribution services such as Pricing & offers, Inventory, Reservations, Catalog, user reviews, Geo & Destinations. We build trust in our two-sided Marketplace through Trust & Safety services for both Travelers and Partners. We build Advertising Tech including both Traveler and Advertiser experiences and corresponding backend services. Majority of the services are Tier 1 with strict requirements of latency, throughput and availability. The organization is over thousand technology professionals across ten global locations.

Manage key backend services of Expedia's 2-sided Marketplace: Search Engine, Recommendations Engine, Pricing & Offers, Reservations, Inventory, Catalog, Geo & Destinations. Global team of over thousand SDEs, SDMs, TPMs.

We are making Amazon a place where Customers can not only find a large selection of products at low cost and high convenience, but they also fully trust each product to be safe for their families, their pets and for the environment. We are also ensuring that our Selling Partners continue to grow their business across geographies and thrive, despite the growing complexity of global and local governmental regulatory landscapes. I am responsible for building a suite of Technology solutions to achieve this mission in a scalable and cost efficient manner. I am leading a 400+ hybrid team of Applied Scientists, Software Development Engineers, Product Managers, Technical Program Managers, Data Engineers, UX designers and Program Managers across 4 major global locations. Our Technology solutions range from large scale Machine Learning based classification for billions of products, Computer Vision to extract information from millions of multilingual documents & images, Buyer & Seller facing user experiences used by millions, Tier 1 services that interface with major Amazon systems, Safety risk assessment based on Natural Language Processing & Supply Chain provenance, to name a few. We own and influence the entire Amazon ecosystem: how a product is discovered and displayed, how a product is stored, packed and shipped, how we dispose waste in environmentally safe manner, how we execute product recalls, how we enable cross border shipments & implement customs limitations and tariffs.

Selection Discovery enables the discovery of billions of products in the catalog by organizing them into a Discovery Taxonomy across 15 countries and 25 languages. This Taxonomy provides the definition of thousands of product types (“what is this product?”) and product facets critical for discovery. When customers search for a given product, it enables search to provide relevant search results, including non-product entities (like “Buying guides”), and provide optimal customer experiences, including refinement filters. The Taxonomy also has destinations (“Father’s day Store”, “Camping Store” etc ) that enable serendipitous discovery experiences. We use advanced Machine Learning techniques to classify billions of products into the tens of thousands of possibilities and tens of billions of product assignments to search and other systems. We manage “Tier-1” high available, high throughput, low latency services that vend the Taxonomy that are critical in keeping Amazon’s discovery experiences running. I manage 300+ member strong diverse team of Software Engineers, Applied scientists, Taxonomists, and Classification Specialists through multiple layers of management spread around 6 international locations, in addition to Seattle.

I manage a hybrid team of Tech (Software Engineers, Software Development Managers, Technical Program Managers) and Operations (Catalog Specialists, Operations Managers) comprising of over 400 employees speed across US, India and Slovakia.An information-rich and accurate product catalog is a critical strategic asset for Amazon. It powers unrivaled product discovery, informs customer buying decisions, offers a large selection and positions Amazon as the first stop for product discovery. As part of this team we create innovative solutions to measure and improve the quality of information within Amazon’s product catalog and influence the way millions of customers discover and buy products at Amazon. A small snapshot of what we do:• We work at the cutting edge of big data to handle the massive scale of Amazon's product catalog with billions of products that is growing rapidly. We use latest cloud computing technology for batch processing in combination with low latency real time pipelines with relentless focus on availability, latency and data accuracy.• We crowd-source data from our customers and sellers in millions and work with our partners to identify symptomatic patterns in our pipelines that will prevent data issues at source.• We deal with heterogeneity (multiple languages and variety of product categories), and evolving nature of data pathologies driven by millions of data providers of varying degrees of data quality. We mine information and build knowledge bases using machine learning techniques, and use it as a foundation to measure and improve data quality within our catalog.• We deal with really hard problems. What does “data quality” really mean? What are the biggest opportunities to improve customer experience through data quality improvements? These are some of the questions we ask ourselves every day.

I manage the Catalog Quality group at Amazon comprising of 150+ employees spread across US and India. Through multiple management layers, I manage a hybrid team of Tech (Software Engineers, Software Development Managers, Technical Program Managers) and Operations (Catalog Specialists, Operations Managers) with total ownership of this space.An information-rich and accurate product catalog is a critical strategic asset for Amazon. It powers unrivaled product discovery, informs customer buying decisions, offers a large selection and positions Amazon as the first stop for product discovery. As part of this team we create innovative solutions to measure and improve the quality of information within Amazon’s product catalog and influence the way millions of customers discover and buy products at Amazon. A small snapshot of what we do:• We work at the cutting edge of big data (even by Amazon’s standards!). We use latest cloud computing technology for batch processing in combination with low latency real time pipelines with relentless focus on availability, latency and data accuracy.• We build automated systems that measure and fix data issues at scale. We crowd-source data from our customers and sellers in millions and work with our partners to identify symptomatic patterns in our pipelines that will prevent data issues at source.• We mine information and build knowledge bases using machine learning techniques, and use it as a foundation to measure and improve data quality within our catalog.• We deal with really hard problems. What does “data quality” really mean? What are the biggest opportunities to improve customer experience through data quality improvements? These are some of the questions we ask ourselves every day.

I manage the Item Data Quality group within the Search and Discovery organization. Our mission is to continually and measurably improve the quality of information within Amazon’s massive product catalog with the goal of providing an awesome experience to our customers; whether they are looking to discover and buy something or just research products they are interested in. Improving data quality is a very hard problem, given the diversity of products, the variety of our data sources and the sheer scale of the catalog (about 600 million items, growing at the rate of 100 million per year). We design and develop systems that allow us to measure, correct and prevent data quality issues at scale. I manage a team of software development engineers, technical project managers and software development managers. I am responsible for people management, process management, technical leadership, and long term vision for the group.

I manage the Fact Extraction team within the larger Catalog Quality department. Our team specializes in extracting high quality structured product attributes from semi structured merchant feeds aimed at improving Amazon's global catalog offering and enhancing Customer experience on Amazon's website. We develop and constantly improve our rule based engine that extracts textual and non textual data based on several key contextual information. It's a good mix of research, pragmatic software development and real time, large scale, scalable systems design, development and deployment issues. I am responsible for people management, process management and providing technical and non technical leadership towards the short and long term goals for product development.

I was the software development manager for the CV reporting solution; part of AGFA Health care's comprehensive portfolio of cardiovascular solutions consisting of image management and structured digital reporting. The CV reporting solution facilitates cardiology departments to create quick and effective digital structured reports for catheterization and echocardiography, congenital heart disease, nuclear cardiology, and non-invasive vascular. My role is to lead the CV reporting team to design and develop additional enhancements, fix outstanding issues/bugs present in this product based on the recommendations of the product manager for this product and ensure timely release of the product line. In this role I provide technical direction, architectural inputs, create and implement project plans, provide status updates to upper management, assign resources to short and long term tasks, define and evaluate yearly and mid yearly goals for my team.

Research & Development related to improving patient care in the feild of Pediatric Cardiovascular and Cardiac surgery feilds for the hospital.Requirement generation, requirement analysis, Software design and development for patient care improvementBridging Clinical requirements to technical requirements, by understanding the domain of cardiology and cardiac surgery

As part of UDIC (Umkc's Distributed Intelligence Computing lab) research team I was given the charge to lead two software development projects as our "next step" in the evolution of theoretical research. My role was to provide leadership, project management, chief contributor of architectural inputs, develop code and be the primary liaison with other groups.

Project: Development of E-business Infrastructure for PHILIPS India Ltd.This project dealt with developing a B2B E-business infrastructure for PHILIPS India, to enable it to transact with clients/suppliers electronically using the EDI messaging scheme. My role was to integrate the existing backend ERP system (JDE), with this EDI messaging scheme. It involves mapping the raw text output from the JDE system into the standard EDI messages and to provide a tracking interface to log and track each transaction, generate e-mail notification in case of any transaction failure and seamlessly automate the entire process. The entire framework is based on Microsoft BizTalk Server®, Microsoft IIS and windows 2000 platform.Software: Visual Basic 6.0, ASP, MS SQL Server 2000, XML, Windows 2000 Advanced Server, Microsoft BizTalk Server 2000, Microsoft IIS web server.