AI-ML, Backend & Systems Engineer in the making.
Focused on fundamentals, performance, and correctness.
- Build backend systems with clean data flow and solid architecture
- Practice DSA with emphasis on optimal time & space complexity
- Explore compiler design β ASTs, IR, code generation
- Learn DevOps & networking from a systems perspective
- Explore Agents and gen-ai from a systems perspective
- Backend engineering fundamentals
- Data structures & algorithms (problem β pattern β optimization)
- Compiler internals and low-level abstractions
- Production-grade thinking, not toy projects
- Lang-chain/graph
Languages:
- C++
- C
- Python
- SQL
- Java
Core CS:
- DSA
- OS basics
- DBMS
- CN
- Compilers
Backend:
- APIs
- Databases
- System design fundamentals
Tools:
- Git
- Linux
- Debuggers
- Docker
- AWS
- Lingo
- Supabase
- Vercel
- Railway
- Requestly
- WSL
- Understand first, optimize later
- Simple > clever
- Fundamentals scale
- Portfolio: https://aadipandey223.github.io/Portfolio/