class AdityaWorkmates:
name = "Aditya Dey"
title = "Backend Developer – AI"
company = "Workmates Core2Cloud"
location = "Kolkata, India 🇮🇳"
email = "aditya.d@cloudworkmates.com"
languages = ["Python", "C++", "Rust (learning)"]
stack = ["LangGraph", "LangChain", "AWS Bedrock", "FastAPI", "Docker", "ECS"]
focus = ["Agentic AI", "RAG Pipelines", "Voice AI", "MLOps", "Scalable APIs"]
certs = ["AWS ML Engineer", "AWS AI Practitioner", "AWS Cloud Practitioner", "MongoDB SI Associate"]
currently = "Building production AI systems @ Workmates Core2Cloud"Backend-focused engineer building production-grade AI systems on AWS. At Workmates Core2Cloud, I design and ship LangGraph agents, RAG pipelines, real-time voice AI, and FastAPI microservices — from architecture through to deployment on ECS. I care about systems that are reliable, observable, and maintainable at scale.
Currently deepening expertise in agentic AI system design, LLM observability, and Rust for high-performance services — while sharpening core fundamentals with DSA in C++.
Designing and deploying cloud-native AI solutions on AWS for production environments.
| Area | What I Build |
|---|---|
| Agentic AI | LangGraph + LangChain agents for intelligent automation and agentic workflows |
| RAG Pipelines | Retrieval-augmented generation with AWS Bedrock and vector search |
| Voice AI | Real-time voice AI systems integrated into production backend services |
| Microservices | FastAPI services containerised with Docker, deployed on AWS ECS |
| MLOps & Infra | CI/CD via GitHub Actions, LangGraph-powered CloudWatch monitoring agents |
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| Badge | Certification | Issuer | Year |
|---|---|---|---|
| ☁️ | AWS Certified Machine Learning Engineer – Associate (Early Adopter) | Amazon Web Services | 2024 |
| 🤖 | AWS Certified AI Practitioner (Early Adopter) | Amazon Web Services | 2024 |
| ☁️ | AWS Certified Cloud Practitioner | Amazon Web Services | 2024 |
| 🍃 | MongoDB SI Associate | MongoDB | 2025 |
Build systems that solve real problems.
Prefer clarity over cleverness.
Optimize only after correctness.
⭐ Work-focused GitHub — repositories reflect practical engineering and applied AI systems at Workmates Core2Cloud