Kamakhya Prasad Gupta

Software Engineer

Seattle, Washington, United States10 yrs 9 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Over 10 years in scalable backend development.
  • Technical leadership in high-performance systems.
  • Expertise in machine learning and data engineering.
Stackforce AI infers this person is a Backend-focused engineer with expertise in scalable systems for B2C and B2B applications.

Contact

LinkedIn

Skills

Core Skills

Scalable Backend DevelopmentTechnical LeadershipBackend DevelopmentMachine Learning

Other Skills

Operational ExecutionFull-Stack DevelopmentScalable System DesignTechnical Project LeadershipArtificial Intelligence (AI)Data EngineeringSoftware DevelopmentPythonMongoDBReact.jsAmazon Seller CentralLarge Scale DevelopmentData ScienceDistributed SystemsMicroservices

About

With over 10 years of experience in large-scale distributed systems, I contribute to the backend services powering Prime Video page construction at Amazon. Our team ensures scalable, reliable, and high-performance delivery for millions of daily users across multiple devices. At Amazon, I provide technical leadership as an individual contributor, influencing cross-team architecture, defining best practices, and crafting vision documents to address future risks. My expertise lies in scalable backend development, fault-tolerant delivery, and seamless user experiences for critical feature releases.

Experience

Amazon

2 roles

Software Development Engineer

Promoted

Feb 2020 – Present · 6 yrs 1 mo

  • Working on backend services powering Prime Video page construction across all devices, ensuring scalable, reliable, and high-performance delivery for millions of daily users.
  • Provides technical leadership and mentorship as an individual contributor, influencing cross-team architecture, defining best practices, and producing vision and strategy documents to address future risks and mitigations.
  • Design and lead platform initiatives for page construction, touching 75+ Tier-1 services and multiple teams, ensuring fault-tolerant delivery, zero customer-visible outages, and seamless user experiences for critical feature releases.
Operational ExecutionFull-Stack DevelopmentScalable System DesignTechnical LeadershipScalable Backend Development

SDE-2

Apr 2018 – Feb 2020 · 1 yr 10 mos

  • Worked on backend systems for high-throughput trading and transaction pipelines supporting Amazon’s Global Selling platform in India, enabling scalable cross-border transactions for 150k+ sellers.
  • Provided technical guidance and influenced architectural direction, improving system performance and maintainability while mentoring engineers on best practices.
  • Designed and implemented automated compliance validation and auditing frameworks for international trade regulations, reducing manual intervention and increasing operational efficiency.
Technical Project LeadershipArtificial Intelligence (AI)Data EngineeringBackend DevelopmentTechnical Leadership

Sirion

Machine Learning Engineer

Mar 2017 – Apr 2018 · 1 yr 1 mo · Gurugram · On-site

  • Worked on distributed backend systems for automated extraction and management of 1M+ contract obligations, enabling scalable enterprise compliance workflows.
  • Improved extraction accuracy to 80%, reducing manual intervention and accelerating contract lifecycle processing.
  • Designed high-performance backend services and automation pipelines for validation, auditing, and reporting, increasing operational efficiency for large-scale B2B document processing.
Machine LearningSoftware DevelopmentData EngineeringBackend Development

Snapdeal

Software Engineer

Jul 2015 – Mar 2017 · 1 yr 8 mos · Gurugram · On-site

  • At Snapdeal, I played a pivotal role in enhancing the backend systems for the Affiliate Marketing Platform, achieving a remarkable 60% improvement in scalability and operational efficiency. I developed automated integration workflows with major APIs, streamlining marketing and product ad delivery. My focus on workflow automation and system redesign led to a significant reduction in operational overhead, ensuring faster and more reliable marketing operations.
PythonMongoDBOperational ExecutionBackend Development

Education

MNNIT , Allahabad

Bachelor of Technology (B.Tech.) — Computer Science

Jun 2011 – Jun 2015

Pt. DDUSDV Kanpur

PCM

Jul 2006 – Jul 2010

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