Exploring Operating Systems, AI systems, Retrieval-Augmented Generation (RAG), backend engineering, distributed systems, and AI infrastructure.
- Data Structures & Algorithms (C++)
- Operating Systems & Systems Programming
- RAG Systems & LLM Applications
- Backend Engineering
- AI Infrastructure
- Open Source Development
- dsa-systems-track
- rag-genai-systems
- PRECIS
- Energy-Optimization
Building and documenting:
- Arrays
- Strings
- STL
- Linked Lists
- Trees
- Graphs
- Dynamic Programming
- dsa-systems-track
- Daily DSA practice
- Structured problem-solving journey
- Notes, approaches, and solutions
- rag-genai-systems
- RAG
- LangChain
- Embeddings
- Vector Databases
- AI Infrastructure
- PRECIS
- Predictive Crowd Intelligence Engine
- Crowd analytics
- Risk prediction
- Real-time monitoring
- Post-Deployment Sentry
- AI model monitoring
- Drift detection
- Hallucination detection
- Security and compliance monitoring
- Energy-Optimization
- Energy consumption analysis
- Optimization workflows
Building and documenting:
- LLM Fundamentals
- Embeddings
- Vector Databases
- ChromaDB
- LangChain
- RAG Pipelines
- Agents
- AI Infrastructure
Repository:
- rag-genai-systems
- Build production-grade RAG systems
- Strengthen Operating Systems fundamentals
- Master DSA and problem solving
- Learn Rust for systems programming
- Contribute to open source projects
- Build scalable backend systems
- GitHub: @adityasystems99
Building systems, learning continuously, and documenting the journey.