Skip to content

Hi, I'm

Keyur Golani

Building innovative solutions at Amazon while capturing the world through my lens.

Software engineer · GenAI enthusiast · Hackathon winner · Photographer · Problem solver

Greater Seattle Area, WA[email protected]

About

With persistence and perseverance, small things make it BIG. I'm a Software Development Engineer II at Amazon with 12+ years of experience building scalable systems. I work on advertisement optimization and rendering engines serving over 1.1 trillion impressions annually worldwide.

My work spans machine-learning pipelines, distributed systems, and high-scale infrastructure. Beyond coding, I'm an IEEE-published researcher in ML-based network security, and a photography enthusiast capturing moments as ISerialClicker.

Years in

12+years

From embedded firmware to trillion-impression ad rendering — distributed systems, ML pipelines, and the occasional security paper.

By the numbers

12+
Years engineering
From research code to trillion-scale production systems
1.1T+
Ads served / year
Worldwide ad impressions through systems I help own
5B+
Daily peak impressions
Sustained throughput during Prime Day & Turkey 5
$450M+
Business value enabled
Through the high-scale pricing engine
40+
GitHub repositories
Open-source projects across AI tooling, infrastructure, and tools
1
IEEE publication
ML-based threat detection in SDN

Currently focused on

  • Machine-learning pipeline optimization
  • High-scale distributed systems
  • AI-powered developer-productivity tools
  • Open-source contributions

Work Showcase

GenAI Configuration Assistant

Hackathon winner — built end to end

AI-powered tool reducing manual configuration time from 2 hours to 2 minutes.

Tackled the challenge of translating natural-language requirements into complex system configurations using prompt engineering and iterative refinement.

  • 1,300+ hours saved per year across the team
  • 60× faster than the previous manual flow
  • 98% accuracy on the validation suite
AWS BedrockClaude 3.5LambdaAPI GatewayTypeScript

High-Scale Pricing Engine

Distributed calculation system processing millions of real-time pricing decisions.

Solved challenges around eventual consistency, idempotency, and traffic spikes during peak events like Prime Day. Built on DynamoDB + Lambda with SQS dead-letter handling.

  • $450M+ business value enabled across 10+ regions
JavaDynamoDBLambdaSQSCloudWatch

International Expansion Platform

Multi-region launch for a new international market.

Led the technical design for launching services in a new market. Navigated regional compliance, data residency requirements, and adapting systems to different business rules.

  • Successful market launch with zero critical incidents
JavaAWSMicroservicesDynamoDBAPI Gateway

ThoughtMCP

MCP server implementing human-like cognitive architecture for AI reasoning.

Mimics biological cognitive processes through dual-process thinking, working memory, emotional processing, and metacognitive monitoring — giving AI agents richer, more transparent reasoning chains.

TypeScriptMCPClaudeNode.js

AgentSpec

Toolkit for AI agents to follow best practices through structured specifications.

Comprehensive toolkit for AI agents to follow best practices through structured specifications, intelligent context detection, and automated validation. Provides modular instruction systems and enterprise-ready architecture for reliable AI agent workflows.

PythonTypeScriptAI Agents

TasksMultiServer

Hierarchical task management accessible via MCP, REST, and web UI.

Hierarchical task-management system designed for both humans and AI agents. Supports PostgreSQL and filesystem backends, enabling seamless task coordination across AI-assisted workflows.

PythonMCPREST APIPostgreSQL

Skills

Distributed systems

Where I spend most of my time

  • High-scale services ·
  • Eventual consistency ·
  • Idempotency ·
  • Multi-region replication ·
  • Tier-1 availability

Cloud / infrastructure

  • AWS ·
  • DynamoDB ·
  • Lambda ·
  • SQS ·
  • API Gateway ·
  • CloudWatch ·
  • Kubernetes ·
  • Docker

Machine learning

  • ML pipelines ·
  • Anomaly detection ·
  • Click-fraud detection ·
  • Network-traffic analysis ·
  • Apache Spark ·
  • PySpark

GenAI

  • AWS Bedrock ·
  • Claude ·
  • Prompt engineering ·
  • MCP ·
  • Agent architectures

Languages

  • Java ·
  • Python ·
  • TypeScript ·
  • JavaScript ·
  • SQL ·
  • C/C++

Photography

  • Lightroom ·
  • Photoshop ·
  • Landscape ·
  • Urban ·
  • Portrait ·
  • Abstract

Experience

Software Development Engineer II

Amazon

Amazon Payment Products — advertisement optimization and rendering at trillion-scale.

  • Developed advertisement optimization and rendering engine serving 1.1T+ impressions/year worldwide
  • Led machine-learning pipeline optimization for payment-product recommendations
  • Extended platform for data-driven propensity calculation using ML models for better ad targeting
  • Supported services through peak events (Prime Day, Turkey 5) at 5B+ impressions/day
  • Improved resiliency of critical legacy services to Tier 1 availability standards

Software Development Engineer I

Amazon

Amazon Payment Products — backend services for ad optimization at scale.

  • Enhanced ML pipelines for ad optimization supporting massive scale
  • Built High Value Event infrastructure for improved ad targeting
  • Contributed to creation of new ads-optimization services
  • Implemented caching strategies for improved latency performance

Software Engineer

Netskope

DeepScan services for at-scale file analysis and threat detection.

  • Owned deepscan services for file analysis handling incoming files at scale
  • Drove CI/CD compatibility and unit-testing efforts to improve code quality
  • Managed Kubernetes compatibility for deepscan services
  • Formalized legacy project structures for Kubernetes compatibility

Software Engineer Intern

Netskope

Internal tooling for threat analysts.

  • Designed and developed internal tools for threat analysts
  • Created dashboards to visualize threat-analysis data across services

Software Engineering Intern

Lastline, Inc.

Malware analysis automation.

  • Developed code for running malicious programs in the analysis framework
  • Automated behavior extraction across infrastructure layers
  • Improved static-analysis engine detection rates by 35%
  • Added detection capabilities for additional document types

Software Development Intern

Juniper Networks

Error-reporting architecture for developer tooling.

  • Redesigned error-reporting architecture for improved developer experience
  • Implemented 5 new error types and improved 15 existing ones
  • Refactored module for PyPI installation, updating 4 dependent projects
  • Enabled JSON-based error reporting for better debugging

Instructional Assistant

San Jose State University

Lab coursework for Security using Big Data Analytics with Apache Spark.

  • Designed lab coursework for Security using Big Data Analytics with Apache Spark
  • Trained ML models for click-fraud and phish detection using Databricks
  • Compared model accuracies and F1 scores for production evaluation
  • Engineered time-series data into statistical features for better pattern detection

Cyber Security Engineer

SophosLabs

Anti-spam and anti-malware threat analysis.

  • Led development of anti-spam and anti-malware security features
  • Provided analysis and detection of latest threats; evaluated malicious websites
  • Researched and built signatures for spam and malicious emails
  • Reverse-engineered files to discover functionality and risks
  • First employee certified to work on live production systems
  • Developed formal training plans for new hires (still in use)

Java Developer

EvolveWare, Inc.

ERP development and process automation.

  • Developed and maintained ERPs for ~1,000 daily users
  • Automated production tools and redesigned production-facing routines
  • Improved utility performance from 3 days to 5 hours by optimizing code and automating tasks
  • Streamlined processes by automating internally used tools and utilities

Education

M.S., Software Engineering, Cloud Computing Specialization

San Jose State University

Cloud Computing Specialization. Focused on distributed systems and scalable architecture.

  • GPA 3.74 / 4.0
  • Cloud Computing Specialization
  • Coursework in distributed systems and scalable architecture

B.E., Electronics & Communication Engineering

Gujarat Technological University

Foundation in embedded systems and signal processing.

  • Foundation in embedded systems and signal processing

Publications

Machine-Learning Based Threat-Aware System in Software-Defined Networks

Keyur Golani

Developed ML models integrated with an SDN controller for intrusion detection. Trained on ~150GB of network-traffic datasets. Improved routing in SD-WAN networks, reducing packet loss by more than 50%.

Read

Off the page

  • IEEE-published researcher (network security + ML).
  • Photography enthusiast capturing the Pacific Northwest as ISerialClicker.
  • Hackathon winner — the GenAI Configuration Assistant came out of one.
  • From India to Silicon Valley to the PNW — three home bases, one passport.

Elsewhere

Work that lives at its own home.

ISerialClicker Photography

Pacific Northwest & Beyond

Landscape, urban, portrait, and abstract photography from the Pacific Northwest and travels — my dedicated photography portfolio.

  • Landscape
  • Urban
  • Portrait
  • Abstract
  • PNW
500+
Photos
PNW
Based
4K
Resolution

On GitHub

107
Repositories
17
Stars received
  • Connectivity

    Social Media Android App - CMPE 277 Team Project

    Java★ 3 ⑂ 3

  • UIDevelopmentKiroPower

    Transform Kiro into an expert UI/UX developer with comprehensive guidance on accessibility, design systems, component libraries, and modern UI development practices.

    JavaScript★ 2

  • CreditCardValidation

    Validates Credit Card Number, Expiry Date and CVV to be valid separately.

    JavaScript★ 2

  • rounds

    🎯 Self-hostable interview-prep command center — System Design (Mermaid diagrams), Coding (Monaco + sandboxed runner), AI-assisted & real-world rounds, Behavioral/STAR, application tracking, and a full Resume Studio (ATS scoring, PDF/DOCX export).

    Python★ 1 ⑂ 1

  • AgentSpec

    AgentSpec is a comprehensive toolkit that enables AI agents to follow best practices through structured specifications, intelligent context detection, and automated validation. Transform your AI development workflow with modular instruction systems and enterprise-ready architecture.

    Python★ 1

  • ThoughtMcp

    🧠 AI cognitive architecture over MCP — human-like five-sector memory, parallel reasoning, metacognition (bias/emotion/confidence), a 3D memory graph, and a web UI. PostgreSQL + pgvector + Ollama embeddings. 20 MCP tools.

    TypeScript★ 1

  • BabyNest

    🍼 Self-hosted, privacy-first baby tracking PWA — one-tap logging of feeds, sleep, diapers, growth & health; developmental milestones; local AI insights; and pediatrician-ready reports. NestJS + Next.js + PostgreSQL, mobile apps via Expo.

    TypeScript2mo ago

  • TasksMultiServer

    ✅ Multi-interface hierarchical task management (Projects → Lists → Tasks) for humans and AI agents — MCP server, REST API, and React web UI. DAG task dependencies, pluggable PostgreSQL/filesystem storage. FastAPI + React.

    Python2mo ago

  • rounds

    🎯 Self-hostable interview-prep command center — System Design (Mermaid diagrams), Coding (Monaco + sandboxed runner), AI-assisted & real-world rounds, Behavioral/STAR, application tracking, and a full Resume Studio (ATS scoring, PDF/DOCX export).

    Python2mo ago★ 1

  • PrenatalLearning

    🤰 A beautiful, interactive prenatal learning web app — 35 educational topics with audio narration, trimester-aware recommendations, a reflective journal, and calming light/dark themes. Helps expectant parents bond with baby during pregnancy. React + Node + MongoDB.

    TypeScript3mo ago

  • NewTabNote

    📝 A Notion-style, block-based note editor that replaces your browser's new tab — 18+ block types, slash commands, AI assist (OpenAI/Anthropic/Gemini/Ollama), daily notes, backlinks, and 100% local storage. Manifest V3.

    JavaScript3mo ago

  • ThoughtMcp

    🧠 AI cognitive architecture over MCP — human-like five-sector memory, parallel reasoning, metacognition (bias/emotion/confidence), a 3D memory graph, and a web UI. PostgreSQL + pgvector + Ollama embeddings. 20 MCP tools.

    TypeScript3mo ago★ 1

  • Checkmate

    ♟️ A modern, self-hostable checklist app for creating, sharing, and tracking reusable checklists. Template blueprints with nested references, tracked instances with progress, workspaces, collaboration, and a full Theme Studio. Next.js 15 + PocketBase.

    TypeScript3mo ago

  • keyurgolani.name

    🎨 Self-hostable, YAML-driven portfolio site with pluggable visual variants — write one portfolio.yml, swap the entire look without touching content. 28 section kinds, 5 themes, GitHub integration, and a browser admin editor. Next.js + TypeScript.

    TypeScript4mo ago★ 1

  • OpenForge

    🔨 Self-hosted AI workspace — knowledge base, semantic/RAG search, configurable AI agents, drag-and-drop automations, autonomous missions, and 50+ tools. Bring your own LLM (OpenAI, Anthropic, Gemini, Ollama, +). 100% private.

    Python4mo ago★ 1

  • keyurgolani.photography

    📸 A modern, high-performance self-hosted photography portfolio built with Next.js 16 — glassmorphism UI, masonry gallery, lightbox viewer, dark/light theming, and an automatic Sharp AVIF/WebP image pipeline.

    TypeScript4mo ago★ 1

@keyurgolani

Get in touch

LinkedIn is the best way to reach me. I read every message and try to reply within a few days.

Want to work together?

Send me a message on LinkedIn — happy to talk about engineering, ML infrastructure, or interesting hackathons.