Mrityunjay Deepak

Professional summary

Full-stack software engineer building and shipping production software since 2024. Delivered distributed business applications connected through REST APIs, webhooks, BullMQ, and Redis; AI-powered advertising automation on the Google Ads API; and real-time trading analytics and streaming infrastructure. Led a development team of four. Seeking founding engineer, senior full-stack, and AI product engineering roles.

Technical skills

Frontend

React, Next.js, TypeScript, JavaScript, Tailwind CSS, D3.js

Backend

Node.js, Express.js, REST APIs, Webhooks

Data & asynchronous systems

MongoDB, SQL, Redis, BullMQ

AI & automation

AI-agent workflows, LLM API integrations, Google Ads API, Campaign automation

Infrastructure

Linux, Docker, Deployment & server management

Experience

1. Head of Technology & Senior Full-Stack Developer, TORA & TORY

   June 2026 – Present

   • Independently architected, developed, and deployed the e-commerce storefront.
   • Built a distributed business operations ecosystem integrating separate applications and databases.
   • Connected the applications with REST APIs, webhooks, BullMQ, and Redis.
   • Supported workflows covering inventory, orders, customer data, financial operations, and reporting.
   • Own technical architecture, integrations, and production engineering.

   Case study →

2. Senior Learning Consultant, Great Learning

   December 2025 – May 2026

3. Senior Full-Stack Developer & Team Lead, Mind Matrics Media

   March 2025 – December 2025

   • Built an AI-powered Google Ads campaign automation application.
   • Integrated the Google Ads API.
   • Developed agent-driven performance analysis and campaign decision workflows.
   • Implemented keyword discovery and market research integrations.
   • Led a development team of four.

   Case study →

4. Full-Stack Developer, Freelance

   January 2025 – March 2025

5. Full-Stack Developer, Copartner.in

   January 2024 – January 2025

   • Developed real-time trading dashboards using React and D3.js.
   • Built Node.js services for trading and risk metrics.
   • Reported 30% reduction in data latency.
   • Supported streaming infrastructure for 10,000+ concurrent users.

   Case study →

Education