Founder and CEO @ Eclinic247 is a consumer healthcare startup. We are leveraging the power of Technology and Analytics and the Mobile penetration in India to radically reimagine the Primary Healthcare paradigm in India. We are a small but passionate team who have deep experience in building consumer internet technology platforms. We have partnered with some of the leading luminaries in the field of Healthcare (Leading Healthcare administrators, Very Senior Doctors who have advised the government as a part of their core group on primary care issues, Healthcare law experts etc) to develop this Platform. From December 2014 to Present (1 year 1 month) Technology/Strategy Advisor @ I work with the leadership team at Snapdeal as a strategic and technology Advisor. My responsibilities include, advising/working with the leadership on the following: 1. Technology Roadmap and strategy, scaling 2. Product and Process Excellence, Operations 3. People/Organizational structure and Strategy From February 2015 to Present (11 months) VP Engineering @ I play 3 different roles as a part of my responsibilities here at Yahoo R&D, Bangalore. In no particular order, they are: 1) Yahoo R&D Bangalore Leadership team: I am a part of the Executive Leadership team of Yahoo R&D in Bangalore. Yahoo R&D is a 1300+ person center which is a significant chunk of the overall Yahoo tech employee base globally and the largest center/employee base for Yahoo outside of HQ (Sunnyvale). The BLR SDC Executive team of 4 leaders (VP level executives and Business Unit Heads) are responsible for center level administration/oversight on General Administrative functions, policy decisions and cross-cutting/horizontal programs at the center. I also represent Yahoo in external events (both industry events and academic relationships/events) as a part of my overall/center level responsibilities. 2) I am the BLR center level business unit leader (horizontal function/BLR level leadership and representation for the business unit) for the Platforms Group. 3) I am the vertical/business owner for 4 Global Platforms and lead teams that own various subsystems of these platforms. These 4 platforms are: Content Agility/Core content Platforms: Web crawling and extractions, Content understanding/Document processing, ML classifiers, Trending topics platform etc. Video Platforms: Transcoding Platform for on-demand videos, Live event broadcasting platform, Real time transcoding stack. GeoInformatics and User Location Platforms: Geoplaces repository, IP geocoding, Location Management Page and other User Location Services to power Content Personalization and Geo Targeting(Ad systems) services. Yahoo Infrastructure Services: Yahoo's private cloud platform including its hosted monitoring platform. Prior to this, I was leading a the Search Technologies team powering Yahoo's web search offering. We owned several critical subsystems in the search technologies stack including cross cutting functional programs (end to end functionality) in the search stack. From October 2013 to December 2014 (1 year 3 months) Senior Director, Engineering @ I manage two divisions of the Cloud Platforms Group at Yahoo! R&D at Bangalore. Core Content Services: Content Platform is the technology backbone for ingesting, processing, serving content to all our end user facing customer properties which are industry leaders in their verticals (Yahoo! Sports, News, Finance etc). The volume and variety of data that we process ranges from Web Crawl Data to structured data feeds from our media partners (eg: syndicated news feeds from Reuters, finance stock ticker quotes etc) and can range from small data packets that we pick up every few seconds to huge data packs that we pick up/process once every few hours. There are also a variety of formats and delivery protocols that we support for enabling this firehose of data. The sheer scale of the data ingested/processed and the huge serving QPS make for a very interesting/challenging engineering problem. Knowledge and Personalization Services (KAPS): The charter of KAPS is to create highly personalized/relevant experience for customers. Specifically, our teams are working on machine learning algorithm for content optimization and relevance, models for detecting trending topics by using content, query/click-view signals and social media signals (tweet stream analysis). We are also doing a semantic web initiative (Web of Objects) for extracting data from the unstructured web corpus and various other sources. From May 2011 to September 2013 (2 years 5 months) Director of Engineering @ Founded the YST (Yahoo Search Technologies) Business Unit/Division in Bangalore. Built strong teams and expertise in the teams across the end to end web search stack (with a focus on the search backend and runtime/middleware systems). Drove the structured data extractions initiative for Yahoo Search. Owned the Paid Inclusion program of YST till its sunset. Owned the webmaster's tool (site explorer) for a period before and during the MS/Bing Transition. Later, I took ownership of the Core Content Services and Knowledge and Personalization Services initiatives which are part of the Cloud Platforms Group (CPG) at Yahoo. Managing the feeds ingestion, processing systems for Yahoo. Drove product vision and technical roadmap development for these areas. From June 2008 to May 2011 (3 years) Senior Manager, Amazon Web Services @ I have played various roles in Amazon, starting from a SDE role followed by senior IC roles and have subsequently shifted into engineering management. In the last 5 years, I have gone from doing first line management of engineering teams, to my current role as a senior manager in the web services division at Amazon, where I manage a large part of the engineering organization of Amazon Bangalore (AWS division) through first line managers, as well as managing the following functions/teams: -- QA (including functional testing and automation/tools function) -- Operations (systems engineering, responsible for operational metrics and tools for the product) -- Release management (staffed with a release manager and a build/release engineer). -- DB engineering (currently, one senior DBA) As of now, the team strength is around 35 people (approx) with about half of it being SDE's of varying levels of experience/level and the remaining distributed between the other functions above. From March 2001 to May 2008 (7 years 3 months) Consultant (Graduate Research Assistant), High performance computing division @ I was part of the consulting staff at the National Consulting office of NCSA. It was a part time position (2o hrs per week) that I did along with my grad school (got a stipend and a complete tuition waiver, since this is considered the equivalent of a research assistantship position). Duties involved assisting the various research teams and commercial organizations that used to purchase compute time on the large supercomputer grids that were available at NCSA. We consulted with these teams regarding their compute jobs and helped them utilize the grid in the right way. From June 1999 to January 2001 (1 year 8 months) Intern, Software Development @ I interned as a software development engineer, in the payment transactional systems team at Amazon. I got a full-time offer at the end of this stint and joined Amazon full-time, after going back to grad school to finish my thesis and joining back with Amazon in March 2001. From May 2000 to August 2000 (4 months) Graduate Research Assistant, Computational Fluid Dynamics Laboratory @ This was a research assistantship position, which was a part-time position (20 hrs per week). I was working on a project sponsored by the Air-conditioning and refrigeration consortium, to study refrigerant flow in heat exchanger distribution ducts. I used numerical methods and models (through commercially available CFD packages like Fluent and CFX), to study and predict the flow properties resulting from different geometrical arrangements of the distribution ducts. From August 1998 to June 1999 (11 months)

MS, Computer Science @ University of Illinois at Urbana-Champaign From 1999 to 2000 MS, Mechanical Engineering (Focus area: Computational Fluid Dynamics) @ University of Illinois at Urbana-Champaign From 1998 to 1999 BE, Mechanical Engineering @ College of Engineering, Guindy (Anna University) From 1994 to 1998 Jeyandran Venugopal is skilled in: Distributed Systems, Search, Machine Learning, Algorithms, Scalability, Hadoop, Program Management, Software Development, Web Services, Databases, Big Data, Agile Methodologies, Amazon Web Services (AWS), Perl, Cloud Computing