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Mrityunjay Deepak — Full-Stack & AI Product Engineering

From firstcommit toproduction.

Individual engineer
Open to remote roles worldwide

I architect, build, and ship software products—from distributed business systems and AI-powered automation to real-time platforms.

Explore Selected WorkView Résumé

01  /  Selected work

Systems that run real businesses.

TORA & TORY

An Event-Driven Business Ecosystem

Connecting independently deployed business applications and databases through REST APIs, webhooks, and Redis-backed asynchronous job processing.

  • React
  • Node.js
  • REST APIs
  • Webhooks
  • BullMQ
  • Redis
Case study
Conceptual event-driven architecture (mobile layout)Three independent applications with separate databases connect to an integration layer, which feeds Redis queues and BullMQ workers that call back into application APIs.OWN DBApp AREACT · NODEOWN DBApp BREACT · NODEOWN DBApp CREACT · NODEIntegration layerREST + WEBHOOKSRedis queuesBACKED BY REDISBullMQ workersASYNC JOB PROCESSINGREST CALLS BACKWEBHOOK EVENT / JOBREST CALLSEPARATE APPLICATION DATABASE
Conceptual diagram. Illustrates the integration pattern; it is not a verified production topology.

02  /  Mind Matrics Media

AI-Powered Advertising Automation

Conceptual advertising automation loop (mobile layout): ingest, analyze, decide, execute, then back to ingest01IngestGOOGLE ADS API02AnalyzeAI AGENT03DecideBUDGET · KEYWORDS04ExecuteCAMPAIGN CHANGES
Illustrative workflow. No performance data is shown. The loop returns from Execute to Ingest.

An advertising management application integrating the Google Ads API and AI-agent workflows for campaign creation, performance analysis, budget decisions, keyword discovery, and market research.

  • Node.js
  • React
  • Google Ads API
  • AI Agents
  • API Integrations
Case study

03  /  Copartner

Real-Time Systems at Scale

Stylized real-time data fan-out (mobile layout)Live dataTRADING · STREAMReal-time processingNODE.JS10,000+ concurrent usersCLIENT FIELD IS SCHEMATIC
Stylized interface. Not production telemetry.

Trading analytics and live-streaming infrastructure supporting 10,000+ concurrent users, with a 30% reduction in backend data latency.

Concurrent users
10,000+
Backend data latency
−30%
  • React
  • Node.js
  • D3.js
  • Real-time data processing
Case study

02  /  Engineering capabilities

Four disciplines, one owner.

  1. 01

    Full-Stack Product Engineering

    End-to-end ownership of React and Node.js applications: data models, APIs, interfaces, and the release path between them.

    • React
    • Node.js
    • TypeScript
    • REST
  2. 02

    Distributed Systems & Backend Architecture

    Independently deployed services coordinated through webhooks, REST contracts, and Redis-backed queues with BullMQ workers.

    • Webhooks
    • BullMQ
    • Redis
    • Event-driven
  3. 03

    AI Agents & Workflow Automation

    Agent-driven workflows wired into real business APIs, turning analysis and decision loops into repeatable, inspectable automation.

    • AI Agents
    • Google Ads API
    • Automation
  4. 04

    Infrastructure & Production Delivery

    Deployment, environments, and operational hygiene for software that has to keep running after the first release.

    • Deployment
    • Environments
    • Operations

03  /  Experience

Recent roles.

  1. June 2026 – Present

    TORA & TORY

    Head of Technology & Senior Full-Stack Developer

  2. March 2025 – December 2025

    Mind Matrics Media

    Senior Full-Stack Developer & Team Lead

  3. January 2024 – January 2025

    Copartner

    Full-Stack Developer

Full experience & background

04  /  Engineering notes

Notes from the work.

Technical explainers on the problems behind the projects, written as general engineering guidance and kept separate from project facts.

All engineering notes

05  /  Contact

Have something ambitious to build?

Open to founding engineer, senior full-stack, and remote product engineering opportunities.

mrityunjaydeepak1300@gmail.com