Nov 2021 – Nov 2024 · 3 yrs · Bengaluru, Karnataka, India · Hybrid

• I serve as a non-executive independent director on the board of Healthcare Global Enterprises. HCG is a pioneer and leader in the field of cancer care and has brought several leading diagnostic and treatment modalities in medical, surgical and radiation oncology to India for the first time, over the years. I serve on the board as a director and am a part of the NRC (Nominations and Remuneration Committee) and the CSR (Corporate Social Responsibility) sub-committees of the board.
• Bringing technology led innovations to the field of healthcare beyond the usual hospital management and CRM systems and backend constructs (such as enhanced patient care through modern interfaces, data science, visualization and 3d fabrication technology) are significant opportunities in healthcare/hospitals and I am happy to be playing a part in helping the executive team at HCG in leading this transformation.

Oct 2019 – May 2025 · 5 yrs 7 mos

• In my role as the Chief Product and Technology Officer (CPTO) at Flipkart, I lead a very talented team of several thousand spanning all of Product management, Engineering, Design and User research, Data Science, IT, Security, Infrastructure and Product operations across core Flipkart platform, Cleartrip, Flipkart Health, Flipkart Commerce Cloud (full P&L).
• In addition to the core OneTech functions above and more recently, I have also been leading several business and P&L functions in the company including the overall platform growth and revenue function, customer and traffic program (including the Performance Marketing function), Loyalty Program P&L and our Ads Business (one of the largest ads P&Ls in the country).
• Flipkart is India's leading ecommerce marketplace and we are on a journey to reimagine traditional models of commerce and create value for our customers and sellers by using product/technology led innovation.
• We work on a wide range of problems from creating engaging user experiences, ultra high scale systems, big data platforms and cutting edge data science applications. If any of these sound interesting and you are passionate about creating breakthrough innovations and solutions for the India market, we would love to talk to you.

Jan 2019 – Oct 2019 · 9 mos

• I lead product and engineering for the following functions:
• Consumer Shopping Experience (CSE):
• Storefront Platforms (across all platforms - Android, iOS, mweb)
• UX and User Research
• Merchandising, Monetization and Marketing platforms
• Ultra (Flipkart's Store in Store program)
• Loyalty/Lock-in program (Flipkart Plus program)
• Applied Science and Technology (AST):
• Data Science (Office of the Chief Data Scientist - which is a governing/enabling organization for all the data science efforts at Flipkart). Also, includes the F7 labs (Palo Alto labs).
• Flipkart Data platform and products (Big data platform, real time data pipelines, clickstream and commerce data processing, analytics and insights)
• Systems engineering and platforms (Data center setup and management, infrastructure to application platforms), Application security and information/data security.
• IT (Corp apps, Network engg, End user compute/helpdesk etc)
• As a part of the AST charter, I also lead a horizontal charter (Office of the CTO) to bring together the organizationally distributed tech/product organization into an One-Tech umbrella by working across teams with respect to setting a horizontal agenda on tech hygiene/sanity and tech debt management, drive the platformization agenda and own the next order of magnitude of scaling across all platforms to support the rapid growth of the business and to create tech led business opportunities.

May 2018 – Dec 2018 · 7 mos · Bangalore

• I led all the product and technology functions for Myntra and Jabong. This was a 800+ person team spread across all the following functions:
• Product management and Engineering for the Myntra and Jabong storefronts, supply chain (inbound and outbound), CRM, Data platforms and products, Platforms (Infra, applications, DevOps, QA)
• User Experience and User research
• Business Analytics/Insights
• Innovation Labs (Greenfield initiatives on cutting edge technology - smart wearables, store of the future, social commerce etc)
• Systems Engineering and Operations
• IT (infosec and appsec, corp apps, end user compute, network engg, audit and compliance)
• We did several breakthrough initiatives. Few key call outs:
• Revamped the entire tech stack to be multi-tenanted and to be able to deprecate the legacy Jabong tech stack and make it just another tenant on our platformized stack. This also paves the way for the business to host the stores of the franchise brands like Mango, Esprit and others in the pipeline on the same platform.
• Several data science wins (moved the offline and limited personalization engine to a dynamic LTR - Learning to Rank/online model for significant improvements in key metrics, Fashion design through AI/Vorta Engine, SABRE - Smart AI Based Returns Engine, Sentient - Escalation prediction/preemption engine using voice/tonality analysis and NLP/Sentiment analysis, Tech Led Automated Pricing Engine full revamp for both portfolio pricing and personalized pricing and several others)
• We built a significantly improved and consistent agile implementation practice across all the teams, level of test automation and regression suites, streamlined production deployments and automation through tooling). We were the first company within the group to attain the ISO 27001 certification.
• Scaled the platforms across the board and streamlined runbooks and self service tooling for configuration/feature gates to run HRD (High Revenue Day/Scale events) smoothly.

Jun 2017 – Apr 2018 · 10 mos · Bangalore

• Myntra (and Jabong combined) is the undisputed leader in India in fashion e-commerce. At Myntra, our vision is to make the world a more stylish, colorful and happier place. We aim to achieve this by using technology to democratize fashion and lifestyle and make people look good.
• I am leading the Technology function at Myntra. This includes our storefront software across all the mobile and web platforms, supply chain systems, Data platforms, Analytics/Insights, Data Sciences organization, Innovation Labs as well as the corporate IT function and DevOps.
• We are working on several technology areas spanning machine learning (eg: Machine generated fashion design, personalization ), supply chain optimization problems, innovation projects spanning the spectrum from AR/VR tech to smart fabrics and several other areas.

Feb 2015 – Oct 2015 · 8 mos

• 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

Dec 2014 – Jun 2017 · 2 yrs 6 mos · Bangalore · On-site

• 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.
• We built both B2B and B2C lines of businesses, raised institutional funding (seed round) and eventually exited the business with the sale of our IP and operating assets to MedLife (largest ePharma company at the time of the sale) in a stock and cash deal, in Nov 2018.
• https://timesofindia.indiatimes.com/business/india-business/medlife-acquires-consumer-healthcare-startup-eclinic/articleshow/66736367.cms

Oct 2013 – Dec 2014 · 1 yr 2 mos

• 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.

May 2011 – Sep 2013 · 2 yrs 4 mos

• 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.

Jun 2008 – May 2011 · 2 yrs 11 mos

• 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.

Mar 2001 – May 2008 · 7 yrs 2 mos

• 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.

May 2000 – Aug 2000 · 3 mos

• 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.

Jun 1999 – Jan 2001 · 1 yr 7 mos

• 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.

Aug 1998 – Jun 1999 · 10 mos

• 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.