Backend Engineering · Agentic AI Systems

Ayus Das

I build resilient Java backends by day, and teach graphs of LLM agents to plan, reason and ship code by night.

Java · Spring Boot Microservices LangGraph · LangChain
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01 — About

Backend-first, AI-curious.

Backend Software Engineer with 4+ years building scalable, production-grade services using Java (Spring Boot), microservices, and cloud-native tooling on AWS. I've worked across the full SDLC — API design, CI/CD, security scanning, and BI/reporting pipelines — inside fully remote, distributed teams. Lately I've been going deep on AI-first and agentic development, including a self-built multi-agent coding assistant using LangGraph and LangChain. I'm looking to bring that combination of solid backend engineering and applied AI to product teams building the next generation of intelligent systems.

4+ Years of experience
3 Fully remote roles
95% Test coverage delivered
01 Multi-agent AI system, self-built
02 — Skills

What I build with.

Languages & Frameworks

JavaSpring BootNode.js ExpressPythonReactNext.js

AI & Agentic Development

LangGraphLangChain GroqMulti-agent systems LLM automationPrompt engineering

Databases

SQLSnowflakeMySQLMongoDB

Cloud & DevOps

AWS S3LambdaSQS API GatewayGitLab CI/CDTerraformSnyk

Data & BI

LookerLookMLSQL

Practices

SOLIDMicroservicesTDDRemote / Async Collaboration
03 — Experience

Where I've shipped.

  1. Software Engineer

    Apr 2023 – Apr 2026

    Tradeprint — Remote, Cimpress Subsidiary

    • Refactored a legacy customer service system into SOLID-compliant microservices using Java (Spring Boot), improving maintainability and enabling faster feature delivery.
    • Led product migration from Magnolia CMS to Contentful, including real-time sync via Cockpit webhooks, reducing product update cycle from hours to minutes.
    • Indexed Contentful pages in Algolia, enabling faster and more accurate content search for end-users.
    • Integrated Snyk vulnerability scans and unit test checks into the GitLab CI/CD pipeline, strengthening release quality and security posture.
    • Owned the BI reporting pipeline in Looker, writing SQL and LookML queries, enforcing coding standards, and implementing dashboard auditing tools for reliable insights.
    • Collaborated asynchronously with distributed teams across Cimpress, ensuring smooth delivery in a fully remote environment.
  2. Software Engineer

    Jan 2022 – Dec 2022

    Omniway Technologies Pvt. Ltd. — Remote

    • Built two shopping chatbots with webhook-based integration, handling real-time user interactions.
    • Designed backend authentication and MongoDB schemas for chatbot and marketing site.
    • Developed the first version of the company's marketing website (Next.js, React), enabling faster customer onboarding.
    • Delivered features independently in a remote setup, collaborating across teams via async tools (Slack, Jira, GitHub).
  3. Software Engineer Intern

    May 2021 – Jan 2022

    Springrole Pvt. Ltd. — Remote

    • Integrated the Gmail API for automated email messaging in an employment verification tool, streamlining workflows.
    • Resolved bugs in AWS S3 file upload, improving system reliability.
    • Increased test coverage to 95% by writing unit test cases with Mocha & Chai.
    • Collaborated with senior engineers remotely, contributing to backend (Node.js), frontend (React), and database (MongoDB, MySQL) modules.
04 — Projects

Things I've built on my own time.

LangGraph LangChain Groq Python

AI Coder — Multi-Agent AI Coding Assistant

  • Built a multi-agent AI coding assistant that converts natural language prompts into working applications through automated planning, architecture design, and code generation.
  • Orchestrated specialized agents with LangGraph and LangChain, using Groq for low-latency LLM inference across the agent pipeline.
  • Designed the agent workflow end-to-end — planning, task decomposition, and code generation — as a self-directed exploration into agentic AI systems and applied LLM engineering.
View on GitHub
Java Spring Boot commercetools

Customer Service Management

Tradeprint · proprietary / internal codebase

  • Built REST endpoints consumed by the frontend for core customer service operations, integrating with commercetools APIs for backend data management.
  • Applied SOLID design principles and Java design patterns for a maintainable, extensible codebase.
05 — Education

Where it started.

B.E., Computer Science — AI & ML

Chandigarh University

2018 – 2022 CGPA 7.56 / 10
Get in touch

Let's build something that thinks for itself.

Open to backend and AI-first engineering roles — remote, hybrid, or on-site.