Anil Padia

CTO

Bengaluru, Karnataka, India19 yrs 10 mos experience

Highly Stable

Key Highlights

17 years of industry experience in technology leadership.
Expertise in large-scale fault-tolerant distributed systems.
Led the development of Amazon's AutoML platform.

Stackforce AI infers this person is a SaaS expert with a strong focus on distributed systems and machine learning.

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Skills

Core Skills

Machine LearningDistributed SystemsEngineering ManagementComputer Science

Other Skills

Amazon Web Services (AWS)JavaC++ServerProblem SolvingSoftware Project ManagementStrategic VisionAgile MethodologiesJava Enterprise EditionCEclipseAlgorithmsCore JavaMultithreadingJavaScript

About

I am a seasoned technologist and engineering leader with over 17 years of industry experience, including 8 years in the United States. I am driven by a strong sense of ownership, customer obsession, and a commitment to delivery, quality and continuous improvement. My strengths lie in strategic planning, vision, and execution, as well as critical thinking, adaptability, data-driven decision-making, cross functional collaboration, stakeholder management, conflict resolution, emotional intelligence, and talent development. With extensive experience in leading software companies, including 5 years as an engineering leader, I possess deep expertise in large-scale fault-tolerant distributed systems, along with great exposure in machine learning technologies. Extremely happy and proud to be the part of journey from when CPP AutoML (https://www.youtube.com/watch?v=6verVFelw1I) was just an idea to where it is today powering crucial product classification decisions in Amazon. Currently leading Inbound charter in Amazon Warehousing & Distribution (AWD) offering, a world class supply chain solution.

Experience

19 yrs 10 mos

Total Experience

9 yrs 3 mos

Average Tenure

1 yr 3 mos

Current Experience

Microsoft

Principal Software Engineering Manager

Feb 2025 – Present · 1 yr 3 mos · Bengaluru, Karnataka, India · Hybrid

I am part of Turing AI team, which in turn is part of larger CoPilot Enterprise echo system. Microsoft Turing team is an innovative engineering and applied research team working on state-of-the-art deep learning models, large language models and pioneering conversational search experiences. The team spearheads the platform and innovation for conversational search and the core copilot experiences across Microsoft’s ecosystem including BizChat, Office and Windows.

Machine LearningDistributed SystemsAmazon Web Services (AWS)Engineering Management

Amazon

5 roles

Software Development Manager

Jun 2022 – Feb 2025 · 2 yrs 8 mos

I owned AWD (Amazon Warehousing and Distribution) Inbound shipment charter, one of the most critical domains of AWD org and contributed to building a world class supply chain solution as part of Supply Chain By Amazon (SCA) offering to reduce cost to serve. AWD provides low-cost, long-term bulk storage that gives sellers the option to store their inventory in Amazon distribution centers and seamlessly replenish to fulfillment centers.

Distributed SystemsMachine LearningAmazon Web Services (AWS)Engineering Management

Software Development Manager

Promoted

Nov 2019 – Jun 2022 · 2 yrs 7 mos

Led high performing team and worked with other teams including a team of Applied Scientists to build a platform for Auto ML (also named AutoML) which is now widely used in Amazon for product classification use cases. Business teams have built and productionized tens of thousands of ML models using this platform in totally self-service manner without needing any expertise on ML.

Amazon Web Services (AWS)Engineering ManagementMachine Learning

Sr. Software Engineer

Oct 2016 – Oct 2019 · 3 yrs

Worked as a tech lead in two new initiates from scratch. First initiative was to bring professional content from external publishers in automated ways, curate and moderate them, host them on Amazon portals, surface that content across several places on amazon, such as search results, and measure the incremental value the content is bringing to Amazon. Second project was Contributor Rewards. This project identifies top community contributors across several content programs in Amazon (like Amazon Spark), and rewards those contributors.

Distributed SystemsMachine LearningAmazon Web Services (AWS)

SDE II

Sep 2014 – Sep 2016 · 2 yrs

Worked as a Tech lead in Member Referral Program (MRP) team. Major contributions:
Rearchitected MRP System to scale to thousands of programs, and millions of customers. Led a team of 5 engineers in developing the new system.
Introduced rule engine-based referral qualification for a very flexible reward qualification
Designed personalized referral codes which vends sticky referral codes at scale.
Designed, led a team of 5 engineers, and launched Amazon Mobile App Referral Program.

Distributed SystemsAmazon Web Services (AWS)

SDE II

Nov 2012 – Sep 2014 · 1 yr 10 mos

Designed, implemented and launched critical projects involving large scale distributed systems based on AWS Cloud Infrastructure. Developed ASIN Selection Guardrail System, a highly scalable, available, and extremely low latency throttling layer to prevent Amazon ASIN Catalog data leakage. ASIN Selection Guardrail system design was selected as one of the finalists from Amazon Bangalore Development Center for India Developer Conference in 2013.

Distributed SystemsAmazon Web Services (AWS)