Krish Mehta
Track record · 2023 — now

Operator receipts.

AI work, in production.

What I've shipped.

Platform work.

Customer engagements.

Three years across PayPal and Harness. The receipts I'd hand a board: $5M+ in audit savings surfaced via ML, $60K/month saved in GCP costs, a Kubernetes migration that cut downtime 40% across 20,000 developers, 15,000+ repos migrated, 250M+ artifacts scanned.

Three years building production AI: a custom NLP MCP server unifying the SDLC, an ML cost-prediction model surfacing $5M+ in audit savings, a GenAI PR-review bot at 100% compliance, three Claude + GitHub + Harness onboarding accelerators, and the IDD chatbot.

Three years of shipping: TripOS (Next.js 15 + Postgres + 689 tests), Blackjack Trainer (pure-function engine), a custom MCP server bridging Artifactory + GitHub + Jira, a MERN-stack Flyhook for Jira webhooks, Terraform + Python repo automation, and 30+ Datadog metrics.

Three years of platform work: Artifactory bare-metal + 5 VMs → Kubernetes (-40% downtime), Terraform + Python automation for 100+ monthly repo requests, 15,000+ GitHub repositories migrated to EMU, JFrog Xray E2E across 250M+ artifacts, 30+ custom Datadog metrics. Now CI/CD, STO, IaCM, IDP and SCS rollouts at Harness.

Three years of customer-facing technical delivery. 5+ enterprise engagements at Harness across CI/CD, STO, IaCM, IDP and SCS — a global financial services SCS rollout, an HR-tech CD rollout, a global marketplace CI/CD/STO/IaCM/IDP rollout. Three Claude + GitHub + Harness AI accelerators. Plus a year and a half as Tech PO at PayPal for 20,000 developers.

Timeline
Dec 2025 — Present
Harness
Implementation Engineer
Remote · India
  • Owned end-to-end technical delivery for 5+ enterprise customer engagements across CI/CD, STO, IaCM, IDP and SCS.
  • Trusted technical advisor — architecture, integration design, onboarding strategy across pre-implementation and implementation.
  • Multi-module transformations: SCS for global financial services; CD for HR-tech; CI/CD/STO/IaCM/IDP for a global marketplace.
  • Built 3 AI-powered onboarding accelerators (Claude + GitHub + Harness) including a one-shot repo → CI/CD framework with integrated STO.
  • Built the IDD onboarding chatbot for internal and customer enablement; reusable expert-skill frameworks for Claude / Copilot.
  • Built 3 AI-powered onboarding accelerators with Claude (Opus, Sonnet) + GitHub + Harness — including a one-shot repo → CI/CD framework with integrated Security Testing Orchestration.
  • Shipped the IDD onboarding chatbot — retrieval-augmented assistant used internally and by customer engineers.
  • Authored reusable expert-skill frameworks and AI workflows for Claude- and Copilot-style assistants, productizing prompt patterns for repeatable customer outcomes.
  • Delivered multi-module rollouts across CI/CD, STO, IaCM, IDP and SCS — integrating LLM tooling into enterprise developer-platform workflows.
  • Trusted technical advisor on pre-implementation architecture and integration design.
  • Owned end-to-end technical delivery for 5+ enterprise customer engagements across CI/CD, STO, IaCM, IDP and SCS modules.
  • Worked across end-to-end DevOps ecosystems: source code management, artifact management, pipeline orchestration, security scanning, developer portal enablement.
  • Delivered multi-module transformations: SCS for global financial services; CD for HR-tech; CI/CD/STO/IaCM/IDP for a global marketplace.
  • Shipped 3 AI-powered onboarding accelerators built on Claude, GitHub, and Harness — including a one-shot repo → CI/CD framework with integrated STO.
  • Built the IDD onboarding chatbot used by internal teams and customers for enablement.
  • Own end-to-end technical delivery for 5+ enterprise customer rollouts across CI/CD, Security Testing Orchestration, Infrastructure as Code Management, Internal Developer Portal, and Software Supply Chain modules.
  • Integrating with enterprise code repositories and artifact registries to support scalable software delivery workflows.
  • Worked across end-to-end DevOps ecosystems: source code mgmt, artifact mgmt, pipeline orchestration, security scanning, developer portal enablement.
  • Delivered multi-module transformations across global financial services (SCS), HR-tech (CD), and a global marketplace (CI/CD/STO/IaCM/IDP).
  • Built 3 AI-powered onboarding accelerators including a one-shot repo → CI/CD framework with integrated Security Testing Orchestration.
  • Owned technical delivery for 5+ enterprise customer engagements implementing Harness across CI/CD, STO, IaCM, IDP, and SCS, integrating with enterprise code repositories and artifact registries.
  • Trusted technical advisor across pre-implementation and implementation phases — architecture discussions, integration design, best practices, onboarding strategy.
  • Delivered multi-module platform transformations: SCS for a global financial services enterprise; CD for an HR-tech company; CI/CD/STO/IaCM/IDP for a global marketplace platform.
  • Built 3 AI-powered onboarding accelerators (Claude + GitHub + Harness) including a one-shot repo-to-CI/CD framework with integrated STO; built the IDD onboarding chatbot.
  • Created reusable expert-skill frameworks and AI workflows for Claude / Copilot-style assistants, accelerating customer guidance and platform adoption.
Nov 2024 — Dec 2025
PayPal
Software Engineer
Bengaluru, India
  • Led product strategy and technical delivery for Artifactory, GitHub, and Jira platforms serving 20,000+ developers and 2M+ daily operations.
  • ML cost-prediction for Jira tasks — surfaced $5M+ in cost savings for the Finance audit team.
  • Artifactory cleanup automation — saved $60K/month in GCP costs.
  • Architected the Artifactory migration from bare-metal + 5 VMs to Kubernetes — 40% downtime reduction.
  • Migrated 15,000+ GitHub repositories to EMU; automated 5+ recurring tasks (30% repo-management time saved).
  • Architected an AI-integrated ServiceNow chatbot eliminating 3,600+ manual service requests per year.
  • Built a custom NLP Model Context Protocol (MCP) server unifying search and command across Artifactory, GitHub, and Jira — accelerating SDLC velocity for 20,000+ developers.
  • Engineered an ML prediction model for Jira task analysis — identified cost inefficiencies and surfaced $5M+ in audit savings.
  • Built a Generative AI PR Review Bot and a Jira Story Refinement engine enforcing internal governance — 100% rule compliance.
  • Built “@codeppllm,” an internal LLM-powered tool used by 50+ developers (40% fewer errors, 20% faster deploys).
  • Architected an AI-integrated chatbot interfaced with ServiceNow — automated common ticket resolution (3,600+ requests/year).
  • Software Engineer owning Artifactory, GitHub, and Jira platforms serving 20,000+ developers and 2M+ daily operations.
  • Built a custom NLP MCP server bridging Artifactory + GitHub + Jira; built a MERN-stack Flyhook fanning Jira webhooks to 5 critical endpoints (35% distribution efficiency).
  • Designed n8n automation pipelines: Jira story to GitHub deployment, eliminating manual release-cycle overhead.
  • Shipped a GenAI PR Review Bot and Jira Story Refinement engine — 100% governance compliance.
  • Authored Terraform + Python automation for repository lifecycle (100+ monthly requests, 40% manual work cut); instrumented 30+ custom Datadog metrics (20% issue-detection time saved).
  • Redesigned Artifactory architecture: migrated from 2 bare-metal hosts and 5 VMs to a scalable Kubernetes cluster — 40% downtime reduction across 20,000+ developers.
  • Authored Terraform + Python automation for repository sunsetting and user provisioning (100+ monthly requests, 40% manual work cut).
  • Migrated 15,000+ GitHub repositories to EMU; automated 5+ recurring tasks (30% repo-management time saved).
  • Deployed JFrog Xray end-to-end across 250M+ artifacts; mitigated 5,000+ vulnerabilities in the software supply chain.
  • Instrumented 30+ custom Datadog metrics piped to 10+ stakeholder teams (20% issue-detection time saved); built Artifactory cleanup automation saving $60K/month in GCP costs.
  • Software Engineer owning Artifactory, GitHub, and Jira for a global user base of 20,000+ developers handling 2M+ daily operations.
  • Architected an AI-integrated ServiceNow chatbot — eliminated 3,600+ manual service requests per year.
  • ML prediction model for Jira task analysis — surfaced $5M+ in cost savings for the Finance audit team.
  • Custom NLP MCP server unifying search and command execution across Artifactory, GitHub, and Jira.
  • Artifactory bare-metal + 5 VMs → Kubernetes (40% downtime cut); JFrog Xray E2E across 250M+ artifacts; Artifactory cleanup automation saving $60K/month.
Jul 2024 — Nov 2024
PayPal
Software Engineer
Bengaluru, India
  • Partnered with Analytics and ML teams using Hive and Hadoop — 15% model accuracy lift.
  • Streamlined data migration with AWS and Dell Boomi — 40% faster processing.
  • Implemented agile methodologies — 20% team productivity gain, projects delivered ahead of schedule.
Feb 2024 — May 2024
Trinity College Dublin
Research Intern · Engineering Thesis
Dublin, Ireland
  • Developed and validated the UMVR model through 1,000+ simulations — achieved 95% success rate across diverse weather scenarios for robust real-world performance.
  • Implemented ML algorithms reducing false positives and false negatives by 10%, materially improving predictive reliability.
  • Conducted extensive testing under variable environmental conditions, contributing to a more resilient system capable of operating effectively in dynamic climates.
May 2023 — Aug 2023
PayPal
Data Analyst · Intern
Bengaluru, India
  • Built an alert prediction system using CTGAN — 60% increase in alert accuracy.
  • Integrated predictive models with GCP and SQL — 30% reduction in fraudulent activity.
  • Analyzed 50M+ transactions across multiple checkpoints, surfacing insights for stronger security measures.
Skills

Operator-engineer. Strong taste, strong receipts.

AI in production — agents, MCP, GenAI, ML, LLM tooling.

Software engineer who ships and tests.

Platform engineer — containers, IaC, CI/CD, observability.

Customer-facing technical advisor across enterprise Harness modules.

Languages
Python, SQL, JavaScript, TypeScript, Java (Spring Boot), Bash
Frameworks & libraries
React, Next.js, Node.js, Express, Tailwind CSS, Prisma, Auth.js, TensorFlow
Data & ML
Hive, Hadoop, Kafka, Splunk, CTGAN, Machine Learning, LLMs (Claude, OpenAI), Model Context Protocol (MCP), RAG, embeddings
Infrastructure
Kubernetes, Docker, Terraform, Puppet, Jenkins, Harness, GitHub Actions, Artifactory, JFrog Xray, Git
Cloud
GCP, AWS, Vercel
Observability
Datadog, Sentry, PostHog, custom metrics, alerting, incident response
Other
RESTful APIs, n8n workflows, MERN stack, ServiceNow, agile delivery, stakeholder management
Education
Trinity College Dublin
BAI — Engineering
Graduated · May 2024 · Dublin, Ireland