Krish Mehta

Founding Engineer / Product EngineerAI Engineer / LLM Engineer / Agent SystemsSoftware EngineerPlatform Engineer / DevOps Engineer / Site Reliability EngineerImplementation Engineer / Customer Engineer / Solutions Engineer

Professional Summary

Operator-engineer shipping zero-to-one products end-to-end with AI-augmented engineering. Currently Implementation Engineer at Harness; previously Software Engineer at PayPal across Artifactory, GitHub, and Jira for 20,000+ developers and 2 million+ daily operations, where ML-driven cost prediction surfaced $5 million in audit savings and a Kubernetes migration cut Artifactory downtime by 40%. Trinity College Dublin engineering graduate.

AI Engineer specializing in production large language model (LLM) systems, agentic architectures, and Model Context Protocol (MCP) servers. Designed an 11-agent control plane orchestrating Claude Opus, Sonnet, and Haiku across cost and workload tiers for the TripOS travel application. At PayPal, built a custom natural- language MCP server unifying search and command across Artifactory, GitHub, and Jira. Trinity College Dublin engineering graduate.

Software engineer shipping production web applications end-to-end. TripOS is a 126-route Next.js 15 application backed by PostgreSQL, Prisma, Stripe, and Auth.js with 689 unit tests and 148 end-to-end specs, live at tripos.dev. Currently Implementation Engineer at Harness; previously Software Engineer at PayPal across Artifactory, GitHub, and Jira for 20,000+ developers. Trinity College Dublin engineering graduate.

Platform / DevOps / Site Reliability Engineer with hands-on Kubernetes, Terraform, and CI/CD experience at scale. Architected the PayPal Artifactory migration from bare-metal and virtual machines to a Kubernetes cluster, reducing downtime by 40% across 20,000+ developers. Built Terraform and Python automation handling 100+ monthly repository lifecycle requests. Currently owning enterprise CI/CD, security testing, and infrastructure-as-code rollouts at Harness. Trinity College Dublin engineering graduate.

Implementation Engineer and customer-facing technical advisor with five-plus enterprise rollouts spanning continuous delivery, security testing, infrastructure as code, internal developer portals, and software supply chain modules at Harness. Built three AI-powered onboarding accelerators using Claude, GitHub, and Harness, including a one-shot repository-to-CI/CD framework with integrated security testing. Trinity College Dublin engineering graduate.

Skills

Building: Zero-to-one product development, MVP design, rapid prototyping, software engineering, AI-augmented engineering, technical leadership
Stack: TypeScript, JavaScript, Python, Next.js 15, React 19, Node.js, PostgreSQL, Prisma, Redis, Stripe, Kubernetes, Terraform, Vercel, AWS
AI: Claude API (Opus, Sonnet, Haiku), OpenAI API, Model Context Protocol (MCP), agentic systems, prompt engineering, n8n workflows
LLMs: Claude (Opus 4.7, Sonnet 4.6, Haiku 4.5), OpenAI GPT, Anthropic API, prompt engineering, fine-tuning, evaluation, latency and token-cost optimization
Agents: Model Context Protocol (MCP), multi-agent orchestration, control planes, agentic workflows, retrieval-augmented generation (RAG), tool use
ML & Engineering: Machine Learning (ML), cost-prediction modeling, embeddings, vector retrieval, Python, TypeScript, Next.js, PostgreSQL, Redis, Hive, Hadoop, Datadog, Sentry
Languages: TypeScript, JavaScript, Python, Java, Bash, SQL
Frameworks: Next.js 15, React 19, Node.js, Express, Tailwind CSS, Prisma, Auth.js v5, Mapbox, Vitest, Playwright, Jest
Backend & Data: PostgreSQL, Redis (Upstash), REST APIs, GraphQL, Stripe, AWS S3, OpenAI API, data modeling, query optimization
Infrastructure & Practice: Kubernetes, Docker, Terraform, Vercel, AWS, GCP, CI/CD, GitHub Actions, code review, test-driven development (TDD), agile, system design
Containers & IaC: Kubernetes (K8s), Docker, Helm, Terraform, GitOps, Python automation, declarative provisioning
CI/CD & Supply Chain: Harness CI/CD, Jenkins, GitHub Actions, Artifactory, JFrog Xray, Software Supply Chain (SCS), Security Testing Orchestration (STO)
Observability & Reliability: Datadog, Sentry, PostHog, custom metrics, alerting, incident response, on-call, Site Reliability Engineering (SRE) practices, monitoring, alerting
Cloud & Languages: AWS, GCP, Vercel, Python, Bash, Linux
Customer & Delivery: Enterprise customer engineering, professional services, technical advisory, solution architecture, stakeholder management, cross-functional facilitation, customer adoption, change management
Harness Modules: Continuous Integration / Continuous Delivery (CI/CD), Security Testing Orchestration (STO), Infrastructure as Code Management (IaCM), Internal Developer Portal (IDP), Software Supply Chain (SCS)
AI for Enablement: Claude and Copilot expert-skill frameworks, AI-powered onboarding accelerators, retrieval-augmented chatbots, Model Context Protocol (MCP), Python, Kubernetes, Terraform

Professional Experience

Harness · Implementation Engineer · December 2025 – Present
Remote, India
  • Owned end-to-end technical delivery for 5+ enterprise customer engagements spanning CI/CD, security testing, infrastructure as code, internal developer portals, and software supply chain.
  • Shipped three AI-powered onboarding accelerators built with Claude, GitHub, and Harness — including a one-shot repository-to-CI/CD framework with integrated security testing.
  • Built the IDD onboarding chatbot used by internal teams and customers for enablement.
  • Authored reusable expert-skill frameworks for Claude and Copilot-style assistants, compressing customer adoption timelines.
  • Designed and shipped three AI-powered onboarding accelerators using Claude (Opus, Sonnet) integrated with GitHub and Harness, including a one-shot repository-to-CI/CD framework with integrated Security Testing Orchestration.
  • Built the IDD onboarding chatbot leveraging retrieval-augmented generation (RAG) over internal documentation for internal and customer enablement.
  • Authored reusable expert-skill frameworks and AI workflows for Claude- and Copilot-style assistants, productizing prompt patterns for repeatable customer outcomes.
  • Delivered multi-module transformations across CI/CD, STO, IaCM, IDP, and SCS, integrating LLM tooling into enterprise developer-platform workflows.
  • Owned end-to-end technical delivery for 5+ enterprise customer engagements across continuous delivery, security testing, infrastructure as code, internal developer portal, and software supply chain modules.
  • Delivered multi-module platform transformations: Software Supply Chain for a global financial services enterprise; Continuous Delivery for an HR-technology company; CI/CD with Security Testing, Infrastructure as Code, and Internal Developer Portal for a global marketplace.
  • Shipped three AI-powered onboarding accelerators built on Claude, GitHub, and Harness, including a one-shot repository-to-CI/CD framework with integrated security testing.
  • Built the IDD onboarding chatbot used by internal teams and customers for enablement.
  • Own end-to-end technical delivery for 5+ enterprise customer rollouts spanning Continuous Integration / Continuous Delivery, Security Testing Orchestration, Infrastructure as Code Management, Internal Developer Portal, and Software Supply Chain modules.
  • Delivered multi-module platform transformations integrating with enterprise code repositories and artifact registries across global financial services, HR technology, and marketplace customers.
  • Built three AI-powered onboarding accelerators with Claude, GitHub, and Harness, including a one-shot repository-to-CI/CD framework with integrated Security Testing Orchestration.
  • Authored reusable expert-skill frameworks and AI workflows accelerating platform adoption across multiple customer engagements.
  • Own end-to-end technical delivery for 5+ enterprise customer engagements across CI/CD, Security Testing Orchestration, Infrastructure as Code Management, Internal Developer Portal, and Software Supply Chain modules.
  • Serve as trusted technical advisor across pre-implementation and implementation phases — architecture discussions, integration design, onboarding strategy, and stakeholder facilitation.
  • Delivered multi-module platform transformations: SCS for a global financial services enterprise; CD for an HR-technology company; CI/CD, STO, IaCM, and IDP for a global marketplace platform.
  • Built three AI-powered onboarding accelerators with Claude, GitHub, and Harness, including a one-shot repository-to-CI/CD framework, plus the IDD onboarding chatbot used internally and by customers.
PayPal · Software Engineer · July 2024 – December 2025
Bengaluru, India
  • Led product strategy and technical delivery for Artifactory, GitHub, and Jira platforms serving 20,000+ developers and 2 million+ daily operations.
  • Built a Machine Learning cost-prediction model for Jira task analysis that surfaced $5 million in audit cost savings for the Finance team.
  • Authored Artifactory storage cleanup automation, saving $60,000 per month in Google Cloud Platform costs.
  • Architected the Artifactory migration from bare-metal hosts and virtual machines to a Kubernetes cluster, reducing downtime by 40%.
  • Built a custom natural-language Model Context Protocol (MCP) server unifying search and command execution across Artifactory, GitHub, and Jira — accelerating Software Development Lifecycle (SDLC) velocity for 20,000+ developers.
  • Trained a Machine Learning prediction model on Jira task data that surfaced $5 million in cost savings for the Finance audit team; built “codeppllm,” an internal Large Language Model (LLM) tool used by 50+ engineers (40% fewer errors, 20% faster deploys).
  • Shipped a Generative AI pull request review bot and Jira story-refinement engine enforcing internal coding standards (100% governance compliance); integrated a ServiceNow chatbot eliminating 3,600 manual requests per year.
  • Led product and engineering for Artifactory, GitHub, and Jira platforms serving 20,000+ developers and 2 million+ daily operations.
  • Built a custom Model Context Protocol (MCP) server bridging Artifactory, GitHub, and Jira; built a MERN-stack Flyhook fanning Jira webhooks to 5 endpoints (35% distribution efficiency).
  • Designed an n8n pipeline from Jira story to GitHub deployment; shipped a GenAI pull request review bot enforcing coding standards (100% governance compliance).
  • Authored Terraform and Python automation for repository lifecycle (100+ monthly requests, 40% manual work eliminated); instrumented 30+ Datadog metrics improving issue-detection time by 20%.
  • Architected the Artifactory migration from 2 bare-metal hosts and 5 virtual machines to a Kubernetes cluster, reducing downtime by 40% across 20,000+ developers.
  • Authored Terraform and Python automation for repository sunsetting and user provisioning, handling 100+ monthly requests (40% manual work eliminated); migrated 15,000+ GitHub repositories to Enterprise Managed Users (EMU) saving 30% repository-management time.
  • Deployed JFrog Xray end-to-end across 250 million+ artifacts (5,000+ vulnerabilities mitigated); instrumented 30+ custom Datadog metrics (20% issue-detection time saved); built Artifactory cleanup automation saving $60,000/month in GCP.
  • Led product and engineering for Artifactory, GitHub, and Jira platforms serving 20,000+ developers and 2 million+ daily operations across PayPal's global engineering organization.
  • Trained a Machine Learning prediction model on Jira task data that surfaced $5 million in cost savings for the Finance audit team.
  • Built a custom Model Context Protocol (MCP) server unifying SDLC search and command across enterprise developer tools.
  • Architected the Artifactory migration to Kubernetes (40% downtime reduction) and rolled out JFrog Xray end-to-end across 250 million+ artifacts.
PayPal · Data Analyst Intern · May 2023 – August 2023
Bengaluru, India
  • Built a CTGAN-based alert prediction system improving alert accuracy by 60%.
  • Developed predictive models on Google Cloud Platform and SQL that reduced fraudulent activity by 30%.
  • Analyzed 50 million+ transactions across multiple risk checkpoints to surface fraud patterns.

Projects

TripOStripos.dev

Operator-led AI travel concierge built end-to-end by 11 named AI agents — zero engineers on payroll. Live in production.

Pure-function blackjack simulator with real card-counter drills (Hi-Lo, KO, Omega II, Illustrious 18). Shipped solo.

TripOStripos.dev

Production multi-agent system: 11-agent control plane (ATLAS, FORGE, PILOT, CONCIERGE, and others) orchestrated across Claude Opus, Sonnet, and Haiku with cost-aware model tiering and Retrieval-Augmented Generation.

Browser-based simulator built with AI assistance; product itself is deterministic with invariant-tested strategy engine.

TripOStripos.dev

Next.js 15, React 18, TypeScript, PostgreSQL, Prisma, Upstash Redis, Mapbox, Stripe, Auth.js v5, AWS S3, OpenAI. 126 API routes, 55 Prisma models, 689 unit tests, 148 end-to-end specs.

React 19, Vite 6. Pure-function game engine (no React imports) with invariant tests. 17 training modes. State persisted in localStorage; works offline.

TripOStripos.dev

PostgreSQL with Prisma, Upstash Redis (presence, geofence, rate-limiting), AWS S3 with presigned URLs, Vercel auto-deploy on main, Sentry and PostHog observability. Background agents in production.

Static Vite 6 build on Vercel. Zero backend services. Cacheable and offline-capable once loaded.

One-shot repository-to-CI/CD frameworkHarness · internal accelerator

AI-powered onboarding accelerator (Claude + GitHub + Harness) compressing customer kickoff into a single working session with integrated Security Testing Orchestration.

IDD onboarding chatbotHarness · internal accelerator

Implementation Delivery Development assistant used by internal teams and customer engineers during multi-module rollouts.

Education

Trinity College Dublin · Bachelor of Engineering (B.A.I.) · September 2020 – May 2024 · Dublin, Ireland