Kapil Garg

Software Engineer

Bengaluru, Karnataka, India6 yrs 7 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Engineered innovative navigation solutions at Amazon.
  • Mentored interns, fostering growth and project success.
  • Achieved 90% improvement in search relevance.
Stackforce AI infers this person is a SaaS and E-commerce software engineer with strong expertise in AWS and machine learning.

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Skills

Core Skills

AwsMachine LearningOrder ManagementCustomer-centric Design

Other Skills

AWS LambdaAlgorithmsAmazon RekognitionAutomationCC++CeleryClaude Sonet3 LLMCollaborationConfiguration ManagementCore JavaCross-platform compatibilityData StructuresDatabase Management System (DBMS)Distributed Systems

About

With a solid foundation in Computer Engineering from the National Institute of Technology Kurukshetra, my journey at Amazon as an SDE II has been marked by significant achievements in the realm of auto navigation. Harnessing the power of Amazon Rekognition and Claude Sonet3's large language models, my team and I developed an innovative script that transforms mobile app navigation across various platforms. This accomplishment, a testament to my proficiency in AWS and object-oriented programming, has improved user experience and broadened accessibility. My commitment to innovation is further reflected in my mentorship of a second-year intern, where together we integrated cutting-edge AI technologies into our app architecture. This collaboration, underscored by my core competencies in SQL and OOP, not only fostered the intern's growth but also bolstered our project's success in natural language understanding and generation, setting a new standard for intuitive user interfaces.

Experience

Amazon

2 roles

SDE II

Promoted

Apr 2023Present · 2 yrs 11 mos · Bengaluru, Karnataka, India

  • Spearheading transformative initiatives in app certification, automated navigation, and search optimization:
  • App Certification Platform Redesign:
  • Architected a scalable, context-independent quality evaluation system leveraging AWS services (Step Functions, Simple Workflow, Feature Store) for comprehensive app testing workflows
  • Revolutionized platform scalability, reducing device onboarding from 3 months to 1 day through modular architecture
  • Integrated ML-powered automation for content safety and policy evaluation (e.g., nudity, guidance compliance ) with zero-disruption migration.
  • Developed self-service test management with dynamic test plan generation, supporting diverse test types
  • AI-Powered Auto Navigation System:
  • Engineered a device-generic navigation solution using Amazon Rekognition and Claude Sonet3 LLM
  • Designed cross-platform compatibility for native/non-native apps across tablets, FireTV, and multiple devices
  • Mentored junior engineers in AI integration while ensuring robust natural language processing capabilities
  • Optimized performance across diverse app environments with scalable architecture
  • Search Relevance Enhancement:
  • Led end-to-end redesign of vendor search functionality in App Lifecycle Portal
  • Achieved 90% improvement in search result relevance through strategic architectural changes
  • Implemented robust solution using SNS, SQS, OpenSearch, and AWS Lambda
  • Developed comprehensive HLD/LLD documentation ensuring sustainable maintenance
  • Technical Leadership:
  • Drive cross-functional collaboration across ingestion, publishing, and developer experience teams
  • Champion automation-first approaches reducing manual intervention
  • Establish architectural patterns for seamless platform extensibility
  • Build high-availability services using stateless architecture principles
  • Core Technologies: AWS (Step Functions, Lambda, SNS/SQS), OpenSearch, Machine Learning, Natural Language Processing, Distributed Systems, Service Architecture
AWSMachine LearningNatural Language ProcessingDistributed SystemsService Architecture

SDE 1

Dec 2020Mar 2023 · 2 yrs 3 mos · Bengaluru, Karnataka, India

  • Slot Selection Page Enhancement
  • 1. Led a critical work-stream in the One Grocery Business initiative for Amazon Fresh, focusing on the Slot Selection Page.
  • 2. Conceptualized and orchestrated the Low-Level Design (LLD) and execution of changes to enhance the order delivery speed selection process.
  • 3. Successfully optimized the Slot Selection Page to accommodate nearly double the order volume, efficiently handling the increased load for comingled (hub+spoke) purchases.
  • 4. Collaborated seamlessly with an Away Team based in the US to ensure seamless implementation and alignment with project goals.
  • Order Details Page Enhancement
  • 1. Played a key role within a team to implement crucial features on the Order Details (OD) page for Hub orders.
  • 2. Introduced features such as "cancel your order" and a comprehensive "Progress Tracker" for hub orders enhancing the user experience and order management capabilities.
  • Merchant Onboarding Optimization
  • 1. Resolved a significant bottleneck in the One Grocery initiative by streamlining the onboarding process for Hub merchants.
  • 2. Collaborated extensively with around 15 Away teams based on US to address intricate configuration challenges, contributing to the successful launch of the initiative.
  • Efficiency Enhancement and Issue Resolution
  • 1.Successfully resolved a recurring issue in Fresh Checkout, wherein customers were stuck in a loop on the Slots page.
  • 2. This optimization resulted in a substantial daily savings of over 5,000 orders during sales periods, significantly enhancing customer satisfaction and operational efficiency.
  • Operational Excellence (OE) Enhancement
  • 1. Addressed recurring OE issues for the team, streamlining processes and contributing to a smoother workflow.
  • 2. Devised and implemented a custom Tampermonkey script to automate the generation of on-call reports, conserving approximately 0.5 SDE bandwidth per week.
Low-Level DesignOrder ManagementCollaborationOptimization

Delhivery

Software Developer

Jun 2019Nov 2020 · 1 yr 5 mos · Gurgaon, India · On-site

  • NetPlan Enhancement:
  • 1. Played a pivotal role in enhancing the NetPlan tool, effectively aligning it with customer-centric goals.
  • 2. Executed key business use cases, including the simulation of distribution centers (DCs) and the automation of NetPlan procedures.
  • 3. These strategic enhancements led to an impressive 40% surge in user engagement, underscoring the tool's heightened usability and impact.
NetPlan Tool EnhancementCustomer-Centric DesignAutomation

Education

National Institute of Technology Kurukshetra

Bachelor of Technology - BTech — Computer Engineering

Jun 2015Jun 2019

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