# Vignesh Narayanan

> Software Eng[in]eer

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/vigneshnarayanan

Seasoned Full Stack Software Engineer with great product sense, proficient in designing and coding e2e optimal & scalable solutions for web applications. 
I have over 10 years of hands on experience in the following domains: E-commerce, Customer Experience & Insights, Personalization & Recommendations engine, Voice Assistants, Conversational & Generative AI, Social & Professional Networking, Content Management Systems. I am always eager and open to explore newer domains as well.

## Work Experience
### Software Engineer @ LinkedIn
Jan 2022 – Present | Sunnyvale, California, United States
𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠
• Contributed to the enhancement of a Business Rules Management System (BRMS), streamlining lead flow and boosting revenue. This self-service tool empowers marketers to easily configure routing rules without coding, enabling faster, more efficient decision-making.
• Contributed to the development of Citadel Leads UI (CLUI) using React Remix, a user-friendly interface built atop lead routing tables, eliminating the need for workarounds and enabling quick onboarding with ease of use for marketing technology partners by providing a streamlined experience for diagnosing and addressing lead failures without requiring specialized SQL knowledge or access to SQL tables.
• Developed fractional SLA capabilities, adding granular thresholds for high-priority leads. This optimized lead queuing, boosting conversion rates and increasing annual revenue by $10M-$15M while maintaining organic lead flow.
• Reduced user time spent on manual BRMS rules copy over by 99% by building rule copy over capabilities across production and staging environments.
• Improved lead routing observability framework, reducing false positives in alert management by 70% and saving developers 3.5 hours daily.
• Integrated a generative AI assistant with BRMS, accelerating rule creation and search times from 5 minutes to 30 seconds, significantly improving user efficiency.

### Software Engineer @ Meta
Jan 2021 – Jan 2022 | Menlo Park, California, United States
𝐌𝐞𝐭𝐚 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐒𝐮𝐢𝐭𝐞 (𝐌𝐁𝐒)
• Collaborated with the CPX Creation Expressions team at Meta to develop the next gen Meta Business Suite (MBS) for managing Facebook and Instagram accounts.
• Implemented tools within MBS to streamline creator's business presence management, aiding in reaching more people and staying up-to-date.
• Contributed to the success of MBS by enhancing user experience and increasing efficiency in managing connected accounts.

### Software Engineer @ Facebook
Jan 2020 – Jan 2021 | Menlo Park, California, United States
𝐂𝐫𝐞𝐚𝐭𝐨𝐫 𝐚𝐧𝐝 𝐏𝐮𝐛𝐥𝐢𝐬𝐡𝐞𝐫 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 (𝐂𝐏𝐗)
• Worked on Creator Studio, the leading desktop and mobile platform enabling publishers and creators to manage and monetize their entire content portfolio across Facebook and Instagram. Designed for power users, the platform streamlines content management, analytics, and revenue generation, empowering creators to optimize their presence and earnings.
• Enabled creators to easily publish content across various channels (News Feed, Stories, Groups, Instagram), expanding their reach and audience engagement.
• Provided valuable insights into content performance and audience demographics, empowering creators to optimize their content strategy and A/B test their content.
• Integrated a unified inbox for managing Facebook and Instagram comments and DMs, streamlining communication and strengthening creator-audience relationships.
• If you are an admin of any page - just give it a try: facebook.com/creatorstudio

### Software Engineer @ Amazon
Jan 2016 – Jan 2020 | Greater Seattle Area and Bay Area
𝐀𝐥𝐞𝐱𝐚 𝐀𝐈: 𝐀𝐥𝐞𝐱𝐚 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐬 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞
• Developed the core Alexa Conversations Developer Experience, revolutionizing natural voice experiences on Alexa.
• Enabled developers to create more natural, flexible, and multi-turn dialogs with significantly less effort,
less code, and less training data.
• Simplified skill integration for seamless multi-skill conversations with Alexa, removing the need for
explicit invocation or repeated context. In the voice chat experience I built, Alexa intelligently transfers
context between skills. For example, when booking movie tickets for four, Alexa understands your
intent, offers a cab reservation using prior context, and suggests dinner based on the movie's end time—streamlining the entire experience.

𝐚𝐦𝐚𝐳𝐨𝐧.𝐜𝐨𝐦: 𝐂𝐨𝐧𝐬𝐮𝐦𝐞𝐫 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 (𝐂𝐗𝐓)
• Successfully migrated a critical portion of the Amazon.com homepage from legacy Perl/Mason to modern React, significantly improving performance and maintainability.
• Provided a single-point access for managing order tracking, returns, deliveries, and upcoming Prime Video/Kindle content by building a calendar-style widget. This solution integrated multiple services, offering users a seamless way to track and manage all their needs in one place.
• Delivered personalized product recommendations based on usage patterns & consumer life cycle, resulting in an increase in sales from widget clicks.
• Implemented a lazy loading mechanism with infinite scroll, enhancing user engagement and exploration which improved user retention rate.

### Graduate Student Instructor @ Arizona State University
Jan 2015 – Jan 2015
𝙄𝙣𝙨𝙩𝙧𝙪𝙘𝙩𝙤𝙧 for the following online courses for 𝙁𝙖𝙡𝙡 𝟐𝟎𝟏𝟓 term.

• 𝗖𝗦𝗘 𝟭𝟭𝟬 : Principles of Programming with Java
• 𝗖𝗦𝗘𝟮𝟬𝟱 : Object Oriented Programming and Data Structures using Java

### Software Engineer Intern @ Electronic Arts (EA)
Jan 2015 – Jan 2015 | Austin, Texas Area
𝐄𝐥𝐞𝐜𝐭𝐫𝐨𝐧𝐢𝐜 𝐀𝐫𝐭𝐬 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 (𝐄𝐀𝐃𝐏)
• Developed a service for the open-source Graphite architecture using vRealize Automation Application Services 6.2, automating cloud provisioning and enhancing operational efficiency.
• Automated the complete application provisioning process, including deployment, configuration, and updates of application components and dependent middleware services on infrastructure clouds saving developer time spent on these tasks.
• Analyzed workload requirements to optimize cloud deployment strategies, driving down hosting costs, improving service quality, and increasing agility to support business growth.
• Improved operational efficiency by automating server builds, deployments, monitoring, and alerting, resulting in reduction in time spent on manual dependency tracking.

### Graduate Student Instructor @ Arizona State University
Jan 2014 – Jan 2015 | Tempe
• 𝙄𝙣𝙨𝙩𝙧𝙪𝙘𝙩𝙤𝙧 for 𝗖𝗦𝗘𝟮𝟬𝟱 online course: "Object Oriented Programming and Data Structures using Java"​ for Fall 2014 and Spring 2015 terms.

### Graduate Research Assistant @ Arizona State University
Jan 2014 – Jan 2014
• Worked on the research project "𝙃𝙪𝙢𝙖𝙣 𝙁𝙖𝙘𝙩𝙤𝙧𝙨 𝘼𝙣𝙖𝙡𝙮𝙨𝙞𝙨 𝙤𝙛 𝘼𝙪𝙩𝙤𝙢𝙖𝙩𝙚𝙙 𝙋𝙡𝙖𝙣𝙣𝙞𝙣𝙜 𝙏𝙚𝙘𝙝𝙣𝙤𝙡𝙤𝙜𝙞𝙚𝙨 𝙛𝙤𝙧 𝙃𝙪𝙢𝙖𝙣-𝙍𝙤𝙗𝙤𝙩 𝙏𝙚𝙖𝙢𝙞𝙣𝙜" under the guidance of professors 𝗗𝗿. 𝗦𝘂𝗯𝗯𝗮𝗿𝗮𝗼 𝗞𝗮𝗺𝗯𝗵𝗮𝗺𝗽𝗮𝘁𝗶 and 𝗗𝗿. 𝗬𝘂 𝗭𝗵𝗮𝗻𝗴

### Graduate Teaching Assistant @ Arizona State University
Jan 2014 – Jan 2014 | Tempe, AZ
• 𝙏𝙚𝙖𝙘𝙝𝙞𝙣𝙜 𝘼𝙨𝙨𝙞𝙨𝙩𝙖𝙣𝙩 for 𝗖𝗦𝗘 𝟱𝟵𝟴 graduate course: "Information Retrieval, Integration and Extraction" for Spring 2014 term.

### Graduate Research Associate @ Indian Institute of Management Ahmedabad
Jan 2013 – Jan 2013 | Ahmedabad Area, India
• Worked on the research Project "𝙁𝙧𝙚𝙞𝙜𝙝𝙩 𝘼𝙡𝙡𝙤𝙘𝙖𝙩𝙞𝙤𝙣 𝙥𝙧𝙤𝙗𝙡𝙚𝙢 𝙬𝙞𝙩𝙝 𝙇𝙖𝙣𝙚 𝘾𝙤𝙨𝙩 𝘽𝙖𝙡𝙖𝙣𝙘𝙞𝙣𝙜 𝘾𝙤𝙣𝙨𝙩𝙧𝙖𝙞𝙣𝙩𝙨" using CPLEX and C++ under the guidance of Professor 𝗗𝗿. 𝗦𝗮𝗰𝗵𝗶𝗻 𝗝𝗮𝘆𝗮𝘀𝘄𝗮𝗹.

### Summer Research Intern @ Indian Institute of Technology, Madras
Jan 2012 – Jan 2012 | Chennai Area, India
• Worked on the simulation and user interface sections of the research project "𝘼 𝙈𝙤𝙩𝙞𝙤𝙣-𝙎𝙠𝙚𝙩𝙘𝙝 𝘽𝙖𝙨𝙚𝙙 𝙑𝙞𝙙𝙚𝙤 𝙍𝙚𝙩𝙧𝙞𝙚𝙫𝙖𝙡 𝙐𝙨𝙞𝙣𝙜 𝙈𝙎𝙏-𝘾𝙎𝙎 𝙍𝙚𝙥𝙧𝙚𝙨𝙚𝙣𝙩𝙖𝙩𝙞𝙤𝙣" using MATLAB, JavaScript, HTML & CSS under the guidance of Professor 𝗗𝗿. 𝗦𝘂𝗸𝗵𝗲𝗻𝗱𝘂 𝗗𝗮𝘀.


## Education
### Master of Science (M.S.) in Computer Science
Arizona State University
Jan 2014 – Jan 2015

### Bachelor's degree in Computer Science
College of Engineering, Guindy
Jan 2009 – Jan 2013


## Contact & Social
- LinkedIn: https://linkedin.com/in/aboutvignesh
- Website: https://vignesh.today/

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Source: https://flows.cv/vigneshnarayanan
JSON Resume: https://flows.cv/vigneshnarayanan/resume.json
Last updated: 2026-03-22