Kumar Vaibhav Email & Phone Number

Murray, Utah, US

Eden Prairie, MN, US

• Leading design, development, creation and deployment of Platform capabilities for EIP Core team.
• Envisioned and supervised our in-house developed Spark Data Loader runtime to Azure, leading to optimal cluster usage and cost optimizations across business lines – EIP Core, Custom and Commercial teams.
• Creator, admin and maintainer of main EIP repositories that enable the Platform.
• Leading a small and fast Platform & Data team, which was created at my request to solve the Platform gaps across EIP.
• Architect and creator of EIP configuration-based framework enabling secure population of data per client for multiple dashboards, secure population of small data per client, central client configuration, persona-based.
• Architect for event driven ADF pipelines for EIP Core using Event Grid and Azure functions.

San Francisco, California, US

• Leading the Rollworks Data Platform team optimization efforts for it’s next generation platform capabilities including User Attributes Pipeline to run cookie segmentation in 4 hours as opposed to 30
• Optimized the domain de-anonymization rate for all customers across Rollworks by 35%
• Optimized the Company Attributes Domain Healthcheck job time efficiency by more than 50%. Also, stabilized it so that it never fails
• Bringing best-in-class technology upgrades on Cloud capabilities like AWS, EMR, Scala and Spark. Laying Software-first best practices in place and creating the foundations of a unified schema and persistence layer
• Leading the efforts to optimize the existing workflows and Spark/MapReduce jobs in terms of time efficiency, uniform metrics, stability for production runs via optimized Spark, EMR configurations, guidelines for.
• Mentoring other engineers on how to produce optimized code with right configurations. Part of interview panel for System Design and Algorithms knowledge interviews

• Leading a fast paced, geographically distributed Big Data/Cloud platform engineering team on Optum Life Science's most critical data protection and cloud workbench offering that delivers to production in record time.
• Joined the team to make things work ('salvage expert' mode continues) and then took over the entire engineering leadership of the team and delivered several key production offerings in record time against impossible.
• Highly engaged and hard working team since engineers get to work on challenging problems for the most part which keeps learning and curiosity high. Consistently delivers above 100% on 95%+ sprints.
• We don't work by 'big company' rules. This is a fast, innovative and aggressive team and deploys code to production every other day and maintains it's technical superiority which is reflected by how much we are.
• Architecture of Workbench - Datalake architecture, Infrastructure deployment architecture, unique Cohort Builder architecture(notebook deployment based), subset pipelines, innovative ingestion of non splittable format.
• End to end design, development and deployment of long running on-prem linux processes - multithreaded data uploads, multithreaded validation layer, etc.

• Got Stock/RSUs for being recognized among company's top performers
• Architect of data pipelines, data lake for the Optum De-identified Data Workspace team
• Lead a small, fast paced engineering team on ODDW and prod delivery
• Converted big and complex Oracle based data pipelines (Optum Analytics Data Warehouse) completely to big data (on prem HortonWorks cluster) in record time of 8-9 months. As part of this wrote several ETLs and optimized.
• Oracle to Spark Sql/Scala converter based on ANTLR 4 - A standalone tool used in multiple projects (OADW/CDR FE) to accelerate the conversion of Oracle pipelines to big data. It consumes oracle queries and gives out.
• End to end handling of third part data called II (Impact Intelligence) to automatically trigger spark based ingestion jobs whenever a relevant json is dropped on the driver VM (edge node) - linux notify triggering.

Washington, District Of Columbia, US

• Joined Advisory Board, Austin (Texas) office as SSE.My work involved enabling the Big Data Platform and the creation of Data Lake and frameworks/engines enabling it. Part of a small but very effective and fast paced.
• Creation of Spark based model level de-duplication module.
• Various security related development like Hive LDAP, Hive SSL, stunnel over hive, etc
• Automated creation and deployment of Hive based datalake schema.
• Development and extension of 'Adhoc' ETL framework - any input(to datalake), any output(from output) manifest based framework. This enables many ETL pipelines working off of the datalake.
• Development of PgExport - ETL'ing datalake data to Postgres.

• Official designation being 'Lead Engineer' at R&D, I performed the following duties -
• Loaned to company's new effort for building a Java based data acquisition platform, called Xede (for about 5 months). Only one of two engineers to work on this project from India. Xede was a high performing engine for.
• Worked on Student Graduation Prediction and used GBM (Gradient Boosted Machines) to achieve good accuracy. Major portion was however, data and feature analysis. Also made a Person Matching Algorithm to find student.
• Lead the Xede team in India.
• Lead the R&D team in India.
• Continued to work on CVA and produced dashboards that showed hospitals how much could they have saved on Blood transfusions.

• Joined R&D department of the The Advisory Board - The R&D was a very focussed, small and quick moving team and had many short term to long term projects in it's pipeline. Work areas included new technology PoCs.
• Development of Radiology, Labs and Blood codes Normalization text matching engines in just two weeks for the initial version. The matching exercises involved matching of CDM descriptions to CPT descriptions enabling.
• Development of CVA (Care Variation Analyzer), which used the above mentioned text matching engines and combined patient and other data to apply groupings on various patient populations and analyzing hospital item.
• Lead hackathon (CrimsonU or CrimsonUniversity) to create the first cluster of Advisory Board and ported a few CCC's data loaders to Hive/Hadoop, etc.
• Part of hackathon (ABC Annual Hackathon) to create end to end reporting framework using R, RHive, Sqoop, Mutt, Hadoop, Sweave, Tex, etc.
• Part of IIT-Roorkee and IIT-Kharagpur interview panel and interview panel of ABCO India, in general.

Software development, feature development and performance enhancement related activities. Worked on.Net based products of The Advisory Board like Crimson Continuum of Care. Also developed PerformanceLabs - a wrapper over MiniProfiler that can be used in test suites with reporting capabilities all embedded in a dll.Contributions - - Development of.

New York, NY, US

• Created a product from scratch - Cosmos PriceMaster. PriceMaster is a price reconciliation framework for Hedge Funds and is also able to connect to other IVP products like SecMaster (or Security Master) to fetch.
• Developed almost all of PriceMaster front end.
• Developed the Scalar and Vector Pricing Models library.
• Developed ASP.NET backend for major components like Feeds Setup, Data Source Setup, Attributes and Attribute Management, Rule based screen, among others.
• PolarisIVP's most popular software offering, Polaris is basically an SSRS based collection of dashboards for showing Portfolio information to Hedge Funds.Contributions working in a team of three - Cross browser.

New York, NY, US

• Security Master Cosmos Security Master is a flexible and efficient tool for managing the securities of a Hedge Fund.Contributions - Drag and drop functionalities and backend for Attribute Management and related.

Bachelor Of Technology (B.Tech.), Computer Science

Mathematics And Computer Science