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Rajesh Kesarla

CTO

Seattle, Washington, United States28 yrs 10 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • 25+ years of experience in software engineering leadership.
  • Proven track record in delivering impactful software products.
  • Expert in building high-performance engineering organizations.
Stackforce AI infers this person is a leader in Healthcare and E-commerce technology with a focus on AI and data-driven solutions.

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Skills

Core Skills

Product StrategyEngineering LeadershipProduct ManagementSoftware Engineering

Other Skills

AI & Data platformshealthcare digital ecosysteminnovationartificial intelligencemachine learningDiscovery Metadata PlatformShopping Knowledge Graphhigh throughputlow latency servicesIntegrated Planning PlatformDemand Planning productPricing as a Servicepromotions platformcompetitive IntelligenceDemand Planning

About

Extensive experience (25+ years) as an executive leader of Product, Software Engineering, Sciences (AI / ML and Data) at some of the world’s best organizations (Microsoft, Amazon, United Health Care, Flipkart). Proven track record of leading large, cross functional product engineering organization distributed across the globe to successfully ship world-class software with multi-billion dollar business impact. Hands-on experience in building highly complex, scalable and distributed systems leveraging data sciences, analytics and machine learning in the areas of eCommerce, Retail, Health care, Consumer internet, operating system middleware, etc. Advocate of "humanity-first, empathy-first" leadership. Love building healthy and sustainable engineering cultures that inspire my teams do their best. * Strong track record in delivering several software products and services from concept to market. Managed all aspects of product development (architecture, analysis, design, and implementation), managed cross functional teams (software development, product & program mgmt., QA, and operations) * Deep experience in building and scaling high performance organizations from 0 to 500+ members backed by long term strategic vision and organization planning. Inspiring leader who has mentored and promoted several people to senior leadership roles * Passionately driven operational excellence by defining right engineering strategy, processes and making continuous improvements to increase agility and predictability. These practices have led to reduction in engg. cycle time, faster releases, high uptime, reduced operating costs, improved quality and customer satisfaction * Extensive hands-on experience in building products and services (Consumer, AI / ML and Data, Health AI and Analytics, etc.) using Java, C++, MySql, Oracle, Cassandra, Aerospike, Redis, Elastic Search, Hadoop, Hbase, Spark, Kafka, React, misc. open source tech stacks Specialties: Product Strategy, Engineering Leadership, Design & Architecture, Large scale distributed systems, driving engg. excellence, hiring and developing strong leaders, leading globally distributed teams.

Experience

28 yrs 10 mos
Total Experience
3 yrs 7 mos
Average Tenure
4 yrs 10 mos
Current Experience

Optum

SVP Software Engineering & CTO at United Health Group / Optum

Aug 2021Present · 4 yrs 10 mos

  • At the forefront of United Health Group and Optum's transformation, I am steering a 500+ member global team towards building enterprise scale AI & Data platforms, consumer products, healthcare digital ecosystem. We are on a mission to revolutionize patient and provider experiences by focusing on innovation through artificial intelligence and machine learning, and harnessing data at a whole new level.
AI & Data platformshealthcare digital ecosysteminnovationartificial intelligencemachine learningProduct Strategy+1

Amazon

Head Of Product & Engineering

Aug 2017Aug 2021 · 4 yrs · Greater Seattle Area

  • Head of Product & Engineering - Discovery Metadata Platform / Shopping Knowledge Graph
  • I led the Discovery Metadata Platform organization that enables the discovery of billions of products in the catalog by organizing them into a Shopping Knowledge Graph / Product Taxonomy. This knowledge graph provides the definition of thousands of product types (“what is this product?”), product facets (e.g. color), and relationships critical for discovery. This enables Amazon Search system to provide relevant results and innovative product discovery experiences.
  • We use advanced Machine Learning techniques to classify billions of products into the tens of thousands of possibilities and tens of billions of product assignments to enable Search and other systems. We manage “Tier-1” highly available, high throughput, low latency services that vend the knowledge graph entities that are critical in keeping Amazon’s discovery experiences running.
  • I led a large / diverse organization with teams across US and EU owning Software Product Development, Product Management, Technical Program Management, and Operations.
Discovery Metadata PlatformShopping Knowledge GraphMachine Learninghigh throughputlow latency servicesProduct Management+1

Flipkart

Director of Software Engineering

Apr 2015Jul 2017 · 2 yrs 3 mos · Bangalore, India

  • Head of Demand Shaping Systems - Incubated, boot strapped and scaled several key initiatives from scratch (was deeply hands-on) and evolving it into a complex large scale systems with significant technical, business and customer impact:
  • Defined vision and strategy for Integrated Planning Platform (IPP) in close partnership with BU heads. Built the team from scratch and scaled it to successfully deliver two major versions of Demand Planning product on IPP and the vision of enabling Demand, supply and Seller planning at Flipkart on IPP.
  • Defined vision and direction for pricing systems – delivering Pricing as a Service to recommend optimal prices based on scientific methods / capabilities. Built the product from scratch (a highly performant and low latent system that can compute and refresh prices for hundreds of millions of products in near real time based on several algorithms)
  • Evolved promotions platform by delivering several new innovations (Bundles, Targeted user offers, Low Cost EMI, Affordability constructs, Product exchange) to increase customer engagement / retention, grow GMV while reducing burn. Ran Flipkart’s biggest yearly sale (BBD 2015 / 2016) with systems supporting 450K QPS
  • Evangelized and built competitive Intelligence function at Flipkart from scratch for monitoring and gathering vital information about competitors at scale on various dimensions such as price, selection, etc. and help Flipkart stay competitive. Incubated the team and scaled it 30+ high performing team
  • Continually challenged and raised engineering standards, led hiring for all levels (SDEs to Directors / VPs), actively contributed in re-defining Flipkart’s technical ladder competencies, facilitated org restructuring activity, evaluated several acquisition proposals, mentored and grew several members to senior levels
Integrated Planning PlatformDemand Planning productPricing as a Servicepromotions platformcompetitive IntelligenceProduct Strategy+1

Amazon

Group Leader - Software Engineering

Mar 2011Mar 2015 · 4 yrs

  • Headed software engineering teams under Amazon Retail Technology Unit (Pricing, Competitive Intelligence, Amazon Trade-In & Rentals)

Gthree systems

Founder / CTO

Nov 2009Feb 2011 · 1 yr 3 mos

Microsoft corporation

Software Engineering Manager

May 2001Apr 2010 · 8 yrs 11 mos · Redmond, WA, USA

  • Led and delivered several versions of Windows operating system (software deployment services), large scale cloud services (e.g. Identity Management, Data Center Replication and Availability, etc.)

Talisma corp

Solutions Architect

Jan 1998Jan 2001 · 3 yrs

Aditi technologies

Software Design Engineer

Jan 1997Jan 1998 · 1 yr

Education

College of Engineering, Guindy

Master's degree — Computer Science

Jan 1994Jan 1997

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