Kashish Grover

AI-powered video content platform. Tech lead of a 4-engineer pod, later transitioned to lead org-wide AI-assisted engineering infrastructure.

• Built the AI-assisted engineering program from scratch — AGENT.md context docs across 12+ repos, automated Claude Code PR reviews, guardrail hooks (branch naming, push protection, file-level rules), and spec-driven development framework. Sustained adoption: 22–35 daily active engineers with no dropoff over 5 months
• Rebuilt test infrastructure for AI-assisted development — eliminated all test suite warnings, reduced output from 65K lines to 180, and created testing guardrails that enabled the team to generate 7,000+ high-quality unit tests in 2 months
• Shipped a caption styling engine modeled after Instagram/LinkedIn video captions — 16 presets, 4 animation types, frame-accurate rendering, WYSIWYG fidelity between editor and export. Became the foundation two other engineers built major features on top of
• Extracted the AI Edits sidebar into a standalone microfrontend (Webpack 5 Module Federation) — 200+ tests, 92% coverage, feature-flagged rollout, zero production issues
• Delivered 3 major features for another pod's GA launch by ramping up on their Remotion codebase cold — editable speaker labels, caption line config, dynamic caption styles & animations
• Led product development for Content Lab — shipped caption translations, free trial experience, multimodal posts, rating systems, and content chapterization across frontend and backend
• Led Studio App UI revamp and feature rewrites, mentoring 4 engineers through code reviews and pair programming while establishing TypeScript-first development standards
• Architected frontend monorepo migration unifying 5+ repositories with standardized CI/CD pipelines, Bugsnag error tracking, and automated TypeScript type generation from OpenAPI specs
• Owned P0 incident response: diagnosed a frontend polling bug causing ~250K requests in 30 minutes (DDoS-like cascade), co-authored the RCA, shipped the fix. Separately recovered corrupted customer video downloads at 10pm by tracing an HLS path mismatch
• Mentored 17+ engineers on AI-assisted workflows through 1:1s, meetups, and hands-on pairing. One mentee went on to architect and own a major microfrontend independently. Conducted 33+ hiring interviews; trained 3 engineers to take over interviewing

Search-driven analytics platform. Built core features across mobile and web products.

• Built core features for ThoughtSpot Mobile — data drill-down, SSO, chart rendering. Established the React Native design system and automated CI/CD for app store deployments
• Owned the frontend for SpotIQ (AI-powered data insights) on the web platform
• Won company hackathon by rebuilding ThoughtSpot's complex search interface in React Native
• Contributed to data-over-time monitoring (React + GraphQL) and stabilized legacy AngularJS application

Budget hotel chain. Led development and performance optimization of the mobile app.

• Led development, deployment, and performance optimization of the Treebo Mobile App (React Native)
• Set up CI/CD pipelines and test automation for mobile releases

Developer blogging platform.

• Built the Hashnode Mobile App from scratch using React Native

Early career internships across enterprise software and CI/CD platforms.

• HPE: Built an internal CLI tool for debugging data dumps; contributed to HPE OneView's frontend
• Shippable: Worked across CI/CD, virtualization, containers, and UI on the core product