J

Jayasurya M.

Software Engineer

San Francisco, California, United States6 yrs 4 mos experience
Highly StableAI Enabled

Key Highlights

  • 6+ years of experience in enterprise-grade systems.
  • Achieved 22% cost savings through algorithm migration.
  • Expertise in backend development and distributed systems.
Stackforce AI infers this person is a Backend-focused Software Engineer with SaaS and E-commerce expertise.

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Skills

Core Skills

Amazon Web Services (aws)Big DataWeb ApplicationsDatabases

Other Skills

AI/MLAWS LambdaAgentic AIAlgorithmsAmazon CognitoAmazon Elastic MapReduce (EMR)Amazon SQSAnalytical SkillsApache KafkaApache SparkBack-End Web DevelopmentCC++CDKCode Review

About

I am a Software Engineer and Master’s student at San Jose State University (Enterprise Technologies specialization) with 6+ years of professional experience engineering and scaling enterprise-grade systems at Zoho Corporation — creators of Zoho CRM, a Gartner-recognized Sales Force Automation platform trusted by 250K+ businesses worldwide. My work at Zoho Corporation ranged from doubling API performance with Redis caching and custom serialization, to implementing Kafka-based integrations, to launching new SaaS products from the ground up. Currently, I am an SDE Intern at Amazon (Summer 2025), where I contribute to the Anomaly Detection and Correction System, improving classification accuracy across ML models powering tens of billions of products in the world’s largest e-commerce catalog. I also drove 22% annual cost savings by migrating a variation classification algorithm from raw EMR clusters to a managed solution. My core expertise includes: Backend Development & Distributed Systems – Java, REST APIs, Microservices, gRPC, Kafka, Redis Cloud & DevOps – AWS (Lambda, EC2, S3), Docker, Kubernetes, Jenkins Databases – MySQL, PostgreSQL, MongoDB AI/ML Projects – Built applications like DocQueryAI (AI-driven document search), and JobSyncAI (LLM-powered job assistant). Beyond my technical foundation in Data Structures, Algorithms, Design Patterns, and System Design, I am passionate about scaling high-performance systems, exploring LLM-driven software development, and building products that solve real-world problems. I am actively seeking New Grad Software Engineering roles (2026) where I can apply my experience in distributed systems, cloud-native platforms, and AI-driven applications to deliver impact at scale.

Experience

6 yrs 4 mos
Total Experience
3 yrs 2 mos
Average Tenure
--
Current Experience

Amazon

Software Development Engineer

May 2025Aug 2025 · 3 mos · Sunnyvale, California, United States · On-site

  • Amazon Selection and Catalog Systems
  • Contributed to the Anomaly Detection and Correction System team, improving classification accuracy across thousands of ML models powering tens of billions of products in Amazon’s e-commerce catalog.
  • Migrated the variation relationship classification algorithm (handling product size and color attributes) from AWS EMR (Spark, Scala) to an internal managed EMR solution, avoiding deep copies in S3 storage and enabling direct integration with the data catalog, achieving 22% annual cost savings and reducing maintenance effort by 6 developer weeks per year.
Amazon Web Services (AWS)Apache SparkCDKAmazon Elastic MapReduce (EMR)ScalaBig Data

Zoho corporation

Member Technical Staff

Jun 2018Jul 2024 · 6 yrs 1 mo · Chennai Area, India · On-site

  • Part of Module Builder Customization Engineering team in ZohoCRM
  • Led a team of developers to engineer Global Sets feature, enhancing operational efficiency in Zoho CRM.
  • Developed Multiple Sales Pipelines feature, streamlining deal stages and boosting sales performance.
  • Designed API endpoints for Bigin CRM, optimizing the CRM system for smaller teams and businesses.
OptimizationDatabasesWeb ApplicationsRepresentational State Transfer (REST)Spring BootVersion Control+12

Education

San José State University

Master of Science - MS — Computer Software Engineering

Aug 2024May 2026

Madras Institute of Technology

Bachelor of Engineering - BE — Computer Science Engineering

Jul 2014Apr 2018

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