Satyam Kumar

Hey, I'm

Satyam Kumar

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Results-driven Software Developer & SDET II with 3+ years building enterprise-grade automation frameworks, full-stack distributed platforms, and AI-assisted tooling at GreyOrange. Solved 1,000+ LeetCode problems. Obsessed with applying AI/ML & agentic tools to build faster, smarter, and at scale.

0 LeetCode Solved
0 Years Experience
0 Test Scenarios Built

01. About

I'm a Software Developer & SDET II at GreyOrange, working on warehouse robotics and fulfillment automation. I architect data-driven test frameworks and contribute to full-stack distributed platforms — the kind of systems where a bug means a robot stops moving boxes, not just a failed CI badge. Outside of work I chase clean architecture, competitive programming, and anything that lets me pair AI/ML with real engineering.

LocationIndia · Open to relocation
RoleSDET II, GreyOrange
EducationB.Tech, IT — VIT Vellore
CGPA8.48 / 10 · 2019–2023
  • Data Structures & Algorithms
  • System Design (HLD / LLD)
  • OOP & Design Patterns
  • OS · DBMS · Computer Networks
  • Distributed Systems & Concurrency

02. Tech Stack

Languages

  • Python
  • TypeScript
  • JavaScript
  • Java
  • SQL

Frameworks & Testing

  • Playwright
  • Django
  • React
  • pytest
  • Selenium

DevOps & Cloud

  • Docker
  • Kubernetes
  • Jenkins
  • GCP
  • RabbitMQ
  • Celery
  • Redis

Databases

  • PostgreSQL
  • InfluxDB

AI / ML & Tools

  • Claude AI
  • Cursor
  • scikit-learn
  • pandas
  • NumPy

Other

  • Jira API
  • Three.js
  • WebSockets
  • REST API
  • Git

03. Experience

Software Development Engineer in Test II (SDET II)

GreyOrange Pvt. Ltd. · Warehouse Robotics & Fulfillment Automation
Aug 2023 – Present · Gurugram, India
  • Architected the GSB Automation Suite — a zero-mock, data-driven Playwright (TypeScript) E2E framework for a PixiJS canvas map editor; grew to 147 JSON-driven test scenarios, asserting Redux store state instead of visual pixels.
  • Designed an entity-agnostic registry architecture (action + entity registries, topological dependency sorting) so new entity suites need only JSON — slashing new-suite setup time by ~70%.
  • Integrated a Google Cloud Build CI/CD pipeline with automated JUnit XML + Playwright HTML reporting, enabling fully unattended nightly regression runs.
  • Contributed to the full-stack GSB Simulator platform (Django + Celery + RabbitMQ + PostgreSQL + Next.js + Three.js) processing parallel simulations via concurrent workers, with GCP BigQuery analytics and real-time WebSocket updates.
  • Leverages AI-assisted development (Cursor, Claude Code) for accelerated feature delivery — from prompt-driven scaffolding to AI-reviewed PRs.

04. Projects

GreyOrange · Internal

GSB Automation Suite

Entity-agnostic, data-driven test engine for a PixiJS warehouse map editor. 147 scenarios defined in JSON; the engine auto-discovers and executes them with topological ordering. Assertions via Redux store injection instead of pixel matching, plus 33 shared helpers and 38 action handlers used across the entire QA team.

Playwright TypeScript Redux Google Cloud Build
Confidential — enterprise project
GreyOrange · Internal

0-to-Hero Test Generation Suite

AI-powered E2E test generation and execution platform for three enterprise warehouse apps. Write a test scenario in plain English — the platform assembles semantic RAG context (Qdrant + Voyage-4 embeddings, 378 indexed UI elements), generates a Playwright spec via Claude Sonnet with TypeScript validation and auto-retry, then immediately executes it through a ReAct loop (Claude Haiku) that observes live page state, auto-corrects action types (fill vs select), and handles canvas grid-to-pixel barcode operations. Passing specs are pushed to GitHub with PR creation and triggered on GCP Cloud Build CI, with HTML reports streamed back to the dashboard.

Next.js Playwright TypeScript Claude (Sonnet + Haiku) Qdrant Redis GCP
Confidential — enterprise project
GreyOrange · Internal

GSB Simulator

Full-stack platform for physics-based warehouse automation simulations run before real deployment. 30-worker Celery + RabbitMQ distributed backend, PostgreSQL, WebSockets for live updates, Three.js 3D visualization, scikit-learn/LightGBM models, and BigQuery analytics — with custom Jira ticket automation on simulation failures.

Django Celery RabbitMQ Next.js Three.js GCP
Confidential — enterprise project
Personal

Baklola E-Commerce

An end-to-end e-commerce application built entirely through an AI-assisted "vibe coding" workflow using Cursor & Claude — a rapid-prototyping exercise in going from idea to working product with AI as a co-pilot.

React Cursor Claude AI
View on GitHub →
Personal · Active

OmniMind AI Platform

An open-source design handbook and reference implementation for a unified AI platform fusing ChatGPT, Cursor, Claude, Perplexity, Copilot, and more into one system. Built one roadmap phase at a time — async FastAPI backend, Postgres-backed identity and conversation bounded contexts, JWT auth, SSE-streamed chat over a locally-served Ollama model, and a Next.js frontend — with every phase verified end-to-end before moving on.

FastAPI PostgreSQL Redis Next.js Ollama Docker
View Live Demo →

05. Achievements

0 LeetCode Solved Arrays, graphs, DP, trees, backtracking
0 Automated Scenarios JSON-driven E2E, zero pixel mocking
0 Setup Reduction New suites: JSON only, no engine code

06. Contact

Open to interesting problems, new opportunities, and good conversations about tech.

satyamksingh02@gmail.com