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I'm Aditya Dey
Kolkata, India
I'm an AI/ML engineer passionate about building intelligent systems that work reliably in production. I work across the full AI stack — from training and fine-tuning models to deploying them with MLOps and LLMOps pipelines.
At Workmates Core2Cloud, I develop LangGraph multi-agent systems, RAG pipelines with AWS Bedrock, voice AI with LiveKit, and ML infrastructure for production cloud environments.
I'm particularly drawn to the intersection of AI engineering and deployment: agentic workflows, real-time voice interfaces, retrieval-augmented generation, model observability with LangSmith, and the DevOps side of getting AI systems into production reliably.
Outside of work, I explore photography and decompress with casual gaming.
Work History
Backend Developer - AI
Workmates Core2Cloud
Building AI-powered backend systems — LangGraph and LangChain agents, RAG pipelines with AWS Bedrock, real-time voice AI, and FastAPI microservices. Developing intelligent automation tools and agentic workflows for production cloud environments.
Associate Cloud Engineer
Workmates Core2Cloud
Designed and deployed cloud-native solutions on AWS — including LangGraph-powered agents for CloudWatch monitoring, containerised microservices with Docker and ECS, CI/CD pipelines with GitHub Actions, and MLOps infrastructure for AI-driven products.
ML Engineer Intern
Prodigy Infotech
Developed and deployed machine learning models for NLP and recommendation systems using scikit-learn and PyTorch. Contributed to production pipelines and enhanced user experience through data-driven feature work.
Technical Proficiency
Gen AI & Agents
ML & MLOps / LLMOps
Backend & APIs
Cloud & DevOps
Databases & Vectors
GitHub Contributions
AditHash
adityadeywm