Harsh Rastogi · AI Product Engineer at Modelia

    I turn AI models into products people actually use.

    I own generative-AI systems end to end: the product decision, the model in the loop, the billing underneath and the agent that ships it. Currently leading AI product at Modelia.

    agent run · shipping a featurerun #412
    1. ›Turn a product photo into a 15s on-model video
    2. ○plan · 4 steps0.8s
    3. ⚙generate_video(clips=3, music=true)2.4s
    4. ⚙credits.charge(workspace, 4)41ms
    5. ✓eval · brand-safe 0.97 · on-model 0.94pass
    6. ●PR #412 merged · CI green · rolled out behind flagshipped
    product decision → model in the loop → billing → eval → ship
    • Modelia
    • Asynq
    • Bharat Electronics
    • SelfAgentic
    • GyanSathi
    • carcode · open source
    367
    PRs merged in 2026
    95%+
    Fewer client escalations
    5K+
    Learners on a platform I built solo
    4
    AI products in production

    Driven by product and obsessed with detail, I take AI ideas from a sketch to systems people rely on, and set the product direction they serve.

    At Modelia I lead AI product for a generative image & video platform: the AI video pipeline, the metering engine under every generation, and the agents that support customers. Before that I built AI hiring automation at Asynq, a university LMS for 5K+ learners at CCS University, and defence infrastructure at Bharat Electronics Limited.

    View all work

    Building AI products people actually use.

    More about me

    AI & Generative Systems

    Production generative and agentic AI, from image and video pipelines to autonomous agents with LLM integration and evaluation.

    AI Product Direction

    Roadmaps, prioritization and revenue-driving features, set by someone who also ships the code behind them.

    Full Stack Development

    Production APIs, microservices and modern frontends with TypeScript, Node.js, React, Remix, tRPC, Prisma and PostgreSQL.

    Platform Engineering

    AI engines, merchant-facing apps, creative tools and internal systems, from architecture to production on Azure and AWS.

    Who is Harsh Rastogi?

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    Harsh Rastogi is an AI Product Engineer at Modelia, a generative AI image and video platform for fashion e-commerce. He builds generative-AI products and multi-agent systems end to end, co-founded the multi-agent platform SelfAgentic, and created carcode, an open-source way to code from your car with Claude Code.

    What does an AI Product Engineer do?

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    An AI Product Engineer owns an AI feature from the product decision to production: choosing where a model belongs, building the pipeline and the guardrails around it, metering and billing usage, evaluating quality, and shipping it to real users. Harsh does this across Modelia's studio, billing engine, support agents and Shopify app.

    What has Harsh Rastogi built?

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    Modelia's generative image and video platform and its usage-billing engine, AI customer-support agents, an AI hiring automation platform at Asynq, GyanSathi (a university learning platform for 5,000+ learners with AI-based student evaluation, built solo), SelfAgentic, and carcode.

    What is carcode?

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    carcode is an open-source tool that lets you code from your car. You say "Hey Siri, Jarvis" and Claude Code reviews pull requests, reads Slack and ships code changes on your Mac, while Apple CarPlay reads the answers aloud. It is MIT licensed and needs no API key.

    How can I work with Harsh?

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    Email harshrastogi0603@gmail.com or connect on LinkedIn. He is open to conversations about AI products, agentic systems and engineering leadership.

    From defence infrastructure to generative-AI platforms, building systems that serve real users.

    1. Jun 2026 — PresentAI Product EngineerModelia · Remote+

      Leading AI product direction and business strategy for Modelia's generative image and video platform — while coding daily. Ideating new tools, automating manual processes, and shipping features that drive measurable business growth.

      • Built AI video production tool for commercial-ready content — multi-clip generation with music, expanding the platform from single-output to a full creative pipeline
      • Led unification of two isolated platforms into a single synchronized system with cross-platform payments, shared generation history, and seamless user experience
      • Designed feature management system replacing rigid sprint releases with continuous deployment via environment-based controls — enabling controlled rollouts and A/B testing
      • Built per-tool consumption analytics and optimized AI infrastructure costs through intelligent caching and usage monitoring
      Modelia
    2. Jan 2026 — May 2026Full Stack EngineerModelia · Remote+

      Engineered the full AI product platform — generative image engine, merchant-facing app, Studio creative tool, and internal systems serving hundreds of merchants generating thousands of AI images daily.

      • Led re-architecture of legacy platform into modular, production-grade system within 35 days — reduced client escalations by over 95% and drove revenue growth across a 15+ person engineering team
      • Built secure media delivery via Azure Blob proxy, cross-platform credit sync with PostgreSQL and Prisma, and real-time SSE with Redis pub/sub for horizontal scaling
      • Established production monitoring, structured logging, and security hardening workflows across the platform
      Modelia
    3. Jan 2025 — Dec 2025Full-Stack DeveloperAsynq · Gurugram, India+

      Built core AI-powered hiring automation platform from ground up — intelligent candidate shortlisting, resume analysis at scale, and an autonomous Agentic AI interviewer.

      • Designed and implemented structured candidate scoring and ranking engine that analyzes resumes in bulk and surfaces best-fit profiles, significantly reducing manual recruiter screening time
      • Built bulk resume upload and concurrent analysis pipeline using async job queues and Redis caching, handling hundreds of resumes per batch
      • Developed Agentic AI interviewer — autonomous conversational system conducting structured candidate interviews with context-aware follow-up questions via LLM integration
      • Architected full backend in TypeScript + tRPC with end-to-end type safety, async processing, and caching layers for sub-second API responses
      • Designed every system with recruiter-first UX — ensuring AI-powered tools were intuitive for non-technical hiring teams
      Asynq
    4. Jul 2024 — Aug 2024SDE InternBharat Electronics Limited (BEL) · Ghaziabad, India+

      Contributed to Harvester HCI (Hyper-Converged Infrastructure) solution at India's premier defence electronics PSU.

      • Built user interfaces for virtualized computing and storage management in defence-grade environments using React.js and Node.js
      • Improved interface efficiency by 45% through component architecture optimization and streamlined rendering patterns
      • Developed Indian Airforce project interfaces using React and Ant Design, reducing paperwork by 75%
      • Collaborated with cross-functional defence engineering teams on systems deployed in secure, mission-critical contexts
      Bharat Electronics Limited (BEL)

    Insights & Articles

    Writing about production AI systems, system design, and lessons learned from building platforms at scale.

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    Tech Stack

    I work with modern technologies to build production-grade, scalable systems. From frontend interfaces to cloud infrastructure and AI pipelines.

    Languages

    • TypeScript
    • JavaScript
    • Python
    • Java
    • SQL
    • HTML/CSS

    Frontend

    • React
    • Remix
    • Next.js
    • Tailwind CSS
    • Shopify Polaris
    • Ant Design

    Backend

    • Node.js
    • Express
    • tRPC
    • REST APIs
    • GraphQL
    • BullMQ
    • Prisma ORM

    Databases

    • PostgreSQL
    • MongoDB
    • Redis
    • Firebase
    • Supabase

    Cloud & DevOps

    • Microsoft Azure
    • AWS
    • Docker
    • Nginx
    • PM2
    • CI/CD
    • Vercel
    • GitHub Actions

    AI & Systems

    • Generative AI
    • Agentic AI
    • LLM Integration
    • AI Product Strategy
    • System Design
    • Event-Driven Architecture

    95%

    Escalation Reduction

    Platform stabilisation

    5K+

    Active Learners

    University-scale LMS

    35

    Day Platform Rebuild

    Full re-architecture

    1000s

    AI Images Daily

    Production scale

    Worked with

    Modelia logoAsynq logoBharat Electronics Limited logo
    Open to conversations

    Want toconnect?

    I'm always open to interesting conversations about AI systems, engineering challenges, and technology.

    or email me at harshrastogi0603@gmail.com