Backend focused developer passionate about building scalable systems, AI powered applications, and distributed backend infrastructure.
Currently exploring:
- AI infrastructure & retrieval systems
- Async backend architecture
- Distributed workers & queues
- Semantic search systems
- Scalable API design
- Python
- FastAPI
- PostgreSQL
- Redis
- AsyncPG
- Docker
- Nginx
- Linux (Ubuntu)
- OpenAI APIs
- pgvector
- Retrieval-Augmented Generation (RAG)
- Semantic Search
- Vector Embeddings
- ReactJS
- TailwindCSS
- JavaScript
- Automation tools
- Telegram bot systems
- Web3 integrations & EVM ecosystems
Building backend-heavy AI systems with:
- async processing pipelines
- Redis worker architectures
- vector retrieval systems
- scalable ingestion workflows
- real time AI applications
An AI-powered academic knowledge system built using FastAPI, PostgreSQL, pgvector, Redis, and OpenAI embeddings.
Features:
- Async PDF ingestion pipeline
- Redis-backed worker architecture
- Semantic vector search
- Retrieval-Augmented Generation (RAG)
- User-isolated document retrieval
- AI-powered contextual querying
- Email: adityaad213@gmail.com
- GitHub: github.com/AdityaEXP