Shyam Sundar

Shyam Sundar

VP Engineering at Proofpoint

 LinkedIn profile

Seniority

13 Years

Hierarchy

Executive

Management Experience

Collaboration
Company Culture
New Manager
Team processes
Scaling Team

Hi everyone! My name is Shyam Sundar and I am currently VP Engineering at Le Tote, where I lead a team of 35 people. Looking forward to meeting you!

Hey, I'm available every Friday at 9:00 PM (GMT)

Next time slot available
  July 31, 2020
  9:00 PM (GMT)

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Stories

Developing Leaders Using A Fail Fast Mentality
17 May

Shyam Sundar talks about how he uses a fail fast mentality when developing people into managers internally.

Handling Promotion
New Manager
Career Path
Personal growth
Coaching / Training / Mentorship
PM
EM
Shyam Sundar

Shyam Sundar

VP Engineering at Proofpoint

How Personal Matters Can Affect An Engineer’s Work
17 May

Shyam Sundar talks about how personal matters can affect your team’s work and how important it is to take the psychological aspects of what your team members tick into account.

Underperformance
Health / Stress / Burn-Out
Coaching / Training / Mentorship
PM
EM
Shyam Sundar

Shyam Sundar

VP Engineering at Proofpoint

The True Value Of Data
17 May

Shyam Sundar discusses the importance of using data to determine improvements you should make to your products.

Feelings aside
Impact
Feedback
Sharing the vision
Data team
PM
EM
Shyam Sundar

Shyam Sundar

VP Engineering at Proofpoint

From Putting Out Fires To Preventing Them
17 May

Shyam Sundar discusses how he was able to move his company from being reactive to issues to being proactive about them.

Personal growth
Health / Stress / Burn-Out
PM
EM
Shyam Sundar

Shyam Sundar

VP Engineering at Proofpoint

Experience

VP Engineering and product data science

Proofpoint

Aug 2018 - current

I lead threat detection and intelligence at Proofpoint. We operate at the intersection of data products & cyber security, responsible for protecting more than 60% of the fortune 1000 companies from cyber security attacks. In short, we make the internet a safer place for everyone!

VP Engineering

Le Tote

Jul 2017 - Jun 2018

Led engineering, dev ops, data science and data engineering. Le Tote is a personalized online subscription service ("Netflix for fashion") that connects people to their fashion needs based on billions of data points. It was a great learning experience working in a startup but the funding situation led to major cuts in the engineering organization. The company has raised more than $60M from top-tier venture capital firms including Andreessen Horowitz, Google Ventures, Y Combinator, Azure Capital and Sway Ventures. Summary: \- Created Le Tote's first data science program which improved personalization by ~15% by leveraging cutting edge deep learning techniques \- Rolled out an engineering operational excellence program which reduced business critical issues by more than 66%. \- Helped international expansion from US to multiple countries (including China) \- Helped expand fulfillment software to handle multiple fulfillment centers. \- Revamped organizational structure to reinforce ownership and autonomy to teams

Director of Engineering, Data & Search

Zendesk

Dec 2014 - Jul 2017

I was responsible for the following programs at Zendesk (San Francisco and Melbourne, Australia): 1\. Data Products: Power game changing features on zendesk with predictive modeling and data science using customer behavior data. 2\. Data reporting platform: Help businesses gain insights from all aspects of customer relationships captured in Zendesk products (ticketing, chat, voice etc). This unified data platform ingests real time data, processes it using google data flow and stores in for analysis in big query. 3\. Internal Product analytics: Help internal teams slice and dice data and make informed decisions through the product data warehouse. 4\. Search Platform: The unified search service which supports all of Zendesk's products. 5\. Search relevance & ranking: Help improve search relevance & ranking based on machine learned models from customer behavior data. 6\. Customer health: A machine learning system that calculates a customer health score based on usage patterns and trends over a period of time, to help reduce churn.

Senior Software Development Manager

Rackspace

Dec 2012 - Nov 2014

Grew a team from scratch to help manage Rackspace's cloud. These products have fundamentally changed the way Rackspace provides fanatical support to customers. Program summary: Unified ticketing: Designed and developed a ticketing system to manage customer issues for different parts of Rackspace’s cloud services and dedicated hosting. This high performance, globally distributed system was developed using open stack and open source technologies. Cloud control: Designed and developed this dashboard to create a one stop aggregated view of 20+ cloud products for Rackspace’s support Engineers. This tool helped improve productivity of cloud support Engineering by as much as 40%

Software Development Manager

Amazon

Oct 2005 - Dec 2012

Worked on products to help understand the impact of product data on customer behavior and help transform Amazon's catalog the most authoritative and comprehensive on the planet. Was lucky to apply data science and data engineering to solve real world problems, before they became buzzwords in the industry. Started out as a software development engineer and transitioned into a software development manager at Amazon. Highlights: \- Developed a data score to help surface products with superior quality of data across the entire Amazon catalog (> 1 billion items) which helped improve key search metrics like abandonment rate, query group click rate and reformulation rate. \- Managed the crowdsourcing program and improved Amazon’s catalog data by 10 million product data corrections \- Improved Amazon’s data selection algorithm to pick the “richest’ data value among the set of merchant data contributions which helped more than 3 million products. Designed and managed the system responsible for measuring the extent of duplication and misclassification in the Amazon catalog which was used by Bezos’ weekly business review. \- Architected & developed this system to improve attribute based navigation in Amazon search & browse pages. Improved brand quality by about 6 times which significantly helped product discovery on the Amazon website.

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