Lakshmi Doddi
About
Lakshmi Doddi is from San Francisco Bay Area. Lakshmi works in the following industries: "Internet", "Education Management", "Information Technology & Services", "Financial Services", and "Banking". Lakshmi is currently Engineering Manager, Machine Learning at Twitter Cortex at Twitter, located in San Francisco Bay Area. In Lakshmi's previous role as a Sr. Engineering Manager, Machine Learning - Recommendations at realtor.com, Lakshmi worked in Santa Clara,CA until Aug 2020. Prior to joining realtor.com, Lakshmi was a Engineering Manager - Recommendations & Personalization at StubHub and held the position of Engineering Manager - Recommendations & Personalization at San Francisco Bay Area. Prior to that, Lakshmi was a Principal Engineer, Core Recommendations & Personalization at StubHub, based in San Francisco Bay Area from Jan 2013 to Aug 2016. Lakshmi started working as Member of Technical Staff II at StubHub in San Francisco Bay Area in Sep 2011. From Oct 2007 to Aug 2011, Lakshmi was Member of Technical Staff Engineer I at ebay/Stubhub, based in eBay. Prior to that, Lakshmi was a Senior Software Engineer at Bank of America from May 2007 to Sep 2007. Lakshmi started working as Senior Software Engineer at Charles Schwab in Oct 2006.
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Lakshmi Doddi's current jobs
Lakshmi Doddi's past jobs
Managing 20+ engineers and 2 teams with their own charter and roadmap —building ML platform and recommendation products from data science models to UI modules across Realtor.com, including: Machine Learning Platform Development / Launch: Built Machine Learning(ML) Platform/workflow to deploy data science models to production. Working on building feature store, productionizing models, and metrics dashboards for on-going model evaluation. Productionized Similar Home Machine Learning model, which generating 4% lift in total leads. Expanding Similar Homes for “Not for Sale” properties improved SEO ranking and acquired an additional 10 million unique users. Smart Notifications and Recommended Homes personalized products improved user engagement by 6%
Partner with engineering leadership to define and influence multi-year Recommendations & Personalization roadmap based on business generation model. Also, collaborate with the engineering team to clarify data science / machine learning roles and responsibilities. Direct 4-engineer team alongside 5 functional reports on three “Personalization & Discover” initiatives, including recommendations engine and platform development / launch, ticket recommendation and pricing guidance, and POC online learning recommendations (cloud). Highlights include building API that reinvented the ticket resale market and today powers well-known personalized home and browse pages, native apps, and third-party experiences for millions of unique daily users; enabling significant lift in annual GMC and reduced clicks through pre-event seat selection; and developing online learning POC to re-rank recommendations in the cloud. Additionally, productionized data science models and built APIs to integrate with Salesforce-generated marketing emails; built automated tool (API) to enable personalized email campaigns based on buyer preference and browsing activity; and built Recommendations API, integrated with third-party intelligent content management provider to instantly deliver user-specific ticket recommendations.
Built API that reinvented ticket resale market and today powers well-known personalized home and browse pages, native apps, and 3 rd party experiences (e.g., Flashtalking) for millions of daily users. Enabled $100MM+ lift in annual GMC and reduced search clicks by creating a pre-event seat selection feature. Project cited in 2016 eBay earnings calls as “main growth engine for StubHub.”
Served as technical lead of up to 12 engineers on eight projects, including electronic and instant ticket delivery that encompassed season ticket holder and order integration, sell-flow redesign, and buyer experience optimization. Web app increased seller net promoter scores, while fulfillment accelerated from 48 hour to instant delivery with zero production issues.
Joined 20-engineer team on complex initiative that ultimately put StubHub on the map, enabling electronic delivery of tickets for sellers like Major League Baseball in the U.S. and the European Premiere League (EPL) in the UK.
Improved customer experiences and reduced overdraft incidents by simplifying OLB deposit holds to accurately reflect funds status (e.g., “Deposited,” “Funds Available”).
Built scalable solution to display CMS asset on Schwab.com homepage, automating the display of aggregated CD rates from disparate sources (enterprise service project).
Built company’s first SOA solution (enterprise service project), including managing on-site / offshore development and evangelized internal web services adoption.