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Abhishek Gupta

CTO

Seattle, Washington, United States17 yrs 8 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led a team generating over $X billion in free cash flow.
  • Scaled platform traffic from 250B to over 1T annually.
  • Developed innovative ML solutions for marketing optimization.
Stackforce AI infers this person is a seasoned leader in MarTech and Cybersecurity with a strong focus on machine learning and software engineering.

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Skills

Core Skills

Technical LeadershipMachine LearningProduct ManagementTechnical Program ManagementSecurity TechnologySoftware EngineeringSolution ArchitectureSoftware Development

Other Skills

.NETAJAXASP.NETAgile & Waterfall MethodologiesAgile MethodologiesArchitectureAtlassian JIRAAutomation FrameworksCC#Customer EngagementDesign PatternsDistributed SystemsEclipseExecutive Relationships

About

Senior Engineering Leader with over 17 years of progressive experience in building and guiding high-performing engineering teams across Advertisement and Marketing Tech, Cybersecurity, and Enterprise Retail Automation. Adept at developing innovative products and solutions, I possess a strong technical foundation in both Consumer and Enterprise sectors. As a passionate mentor, I thrive on fostering talent and driving team growth. Currently, as a Single Threaded Leader (STL) in Payments ML Engineering, I lead the Machine Learning-powered Amazon Payments’ merchandising platform, delivering contextual payment and financial service ad recommendations throughout the retail purchase journey. In 2024, my team’s efforts resulted in 1.1 trillion ad impressions, generating over $X billion in free cash flow for Amazon.

Experience

17 yrs 8 mos
Total Experience
4 yrs 5 mos
Average Tenure
7 yrs 8 mos
Current Experience

Amazon

Engineering Leader, Payments ML - Advertisement and Marketing Tech

Sep 2018Present · 7 yrs 8 mos · Greater Seattle Area · On-site

  • As a WW Single Threaded Leader (STL) for the Payments Merchandising and Discoverability Platform, I oversee a global team of 40+ technical staff comprising engineers, QA, support engineers, and engineering managers across Seattle and Bangalore. My team's responsibilities encompass a comprehensive tech platform that includes 10 services focusing on customer eligibility, Ads and Landing Page rendering, Marketing channels expansion, tool automation, ML powered recommendation infrastructure supporting more than 100 Amazon teams. Notable accomplishments include:
  • Scaled the platform through strategic operational excellence initiatives to support 4x traffic growth from 250B in 2019 to >1T in 2024 annually with a WW peak traffic of 110K+ TPS (transactions per second) while reducing cost to serve and improving availability from 98 to 99.99%. This led to 4 HC in productivity savings and $X M in lost free cash flow annually.
  • Grew the team size from 15 to 45+ . This includes 8 promotions across various roles and fostering a culture of development and advancement. Conducted 100+ interviews, hiring more than 15 new Amazonians.
  • Developed a 3Y technical strategy to evolve current architecture, advocating for significant investments influencing Executive Leadership (VP, multiple Directors in Tech and Product, and Sr. Principal Engineers). This vision included transitioning to microservices based architecture, enhancing marketing campaign systems using generative AI, and building a state-of-the-art ML recommendation infrastructure, driving an increase in experimentation velocity from 2 to over 20 annually leading to $X in annual free cash flows.
  • Bootstrapped Amazon Incentive Machine (AIM), a ML based greenfield product optimizing marketing spend for over 100 million customers, managing $X million in marketing expenditures, and generating $X million in free cash flow and 5 Head counts in productivity savings for Amazon through the reduction in customer acquisition cost.
Operational ExcellenceAgile & Waterfall MethodologiesMachine LearningSoftware Development Life Cycle (SDLC)Solution ArchitectTechnical Leadership+1

Symantec

Principal, Technical Program Management

Jun 2015Aug 2018 · 3 yrs 2 mos · Los Angeles, California, United States

  • Global Program Leader in Security, Technology and Response (STAR) group responsible for driving and delivering company wide, mission-critical programs both in Consumer (Norton Antivirus) and Symantec Enterprise Products. This included launching security features across devices and Cloud driving network protection, malware detection, reputation and remediation, and daily security updates on >300 million endpoints across 140+ countries. I partnered with Senior leadership (VPs, Directors, Fellows, Distinguished Engineers) to build the roadmap vision, tech strategy and define the yearly executional plan to operationalize across 800+ employees, enabling > $1B in annual revenue. Notable accomplishments during my tenure includes:
  • Launched several ground breaking capabilities such as Browser protection, rootkit detection, and honeypot-based deception for Network Intrusion Prevention System (IPS) technology. This involved a set of technologies designed to block malicious attacks before they have a chance to introduce malware onto a system by analyzing incoming data streams that arrive onto a user’s machine via network connections and block threats before they hit the system.
  • Launched new ML backed malware detection platform called Behavior Policy Engine (BPE) to lockdown and stop trusted processes such as OS or IE to inject threats for malware detection (conviction, reputation), remediation and daily security updates. This was done by analyzing and stitching together malware actions holistically in a virtual sandbox to limit the blast radius and safely neutralize the threat. This involved close partnership with Threat analysts and Engineering to identify, isolate and neutralize malware such as ransomware, spyware, keyloggers and botnets using ML based behavior detection technology from WW telemetry and building a global malware fingerprinting engine (malware reputation) for threat assessment.
Technical Program ManagementSecurity TechnologyMachine LearningRoadmap Execution

Ncr voyix

Software Engineer III - Technical Lead

Jul 2010Jun 2015 · 4 yrs 11 mos · Greater Atlanta Area

  • Led the development of NCR’s retail Enterprise flagship product (Web based Backoffice solution aka WebOffice) integrating with key retail products such as Self-Checkout machines, Advanced Checkout for grocery, and Advanced Store for general merchandising while driving teams through challenging new technology and Agile transformation. Notable accomplishments include:
  • Designed and implemented several key features in the product such as a) on-prem Disaster and Data redundancy system for major retailers in North America b) Logging framework and Web Service for a Retail web-based Back Office solution, c) Flexible and reusable SOA architecture for a web-based Back Office solution that is leveraged across multiple NCR products
  • Solution Architect for clients such as Roundy's, Save Mart, Shop N Save, Winco and BevMo! to improve product market readiness by integrating with multiple POS solutions by engaging cross-functional teams such as Engineering, Solution management, and QA, Professional Services for complete Retail store Automation.
Software EngineeringAgile MethodologiesSolution ArchitectureWeb Services

Bny

Software Engineer

Aug 2006Jul 2008 · 1 yr 11 mos · Bangalore · On-site

  • Responsible for development of features in Over-the-counter (OTC) derivative securities trading product for Bank of New York Mellon. My role involved building integration test automation framework using Selenium grid and front-end development using Adobe Flex.
  • Hands on development and testing of solution involving Full Software Development Lifecycle using Microsoft .Net technology stack and MySQL database.
Software DevelopmentAutomation FrameworksIntegration Testing

Education

The University of Georgia

Master's degree — Computer Science

Aug 2008Aug 2010

Bharati Vidyapeeth

Bachelor of Engineering - BE — Computer Engineering

Jan 2002Jan 2006

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