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

TripOS — tripos.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.

TripOS — tripos.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.

TripOS — tripos.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.

TripOS — tripos.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 framework — Harness · internal accelerator

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

IDD onboarding chatbot — Harness · 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