|
Backend Engineering Designing scalable APIs, understanding distributed systems and learning how production software actually holds together under pressure. |
AI / ML Products Moving beyond notebooks, building end-to-end AI-ML pipelines that solve defined problems, not just achieve benchmark scores. |
Full-Stack Development Connecting data, logic and interface into products that feel complete, from database schema to the final rendered component. |
Languages
Frontend
Backend
Databases
AI / ML
Tools
Build to understand, not just to ship.
Systems thinking before syntax.
If the data does not tell a clear story, ask a better question.
Document what you build. Teach what you learn.
- System design patterns and how large-scale backends are architected
- End-to-end ML pipelines: from raw data to deployed model
- How AI products are built beyond the demo stage
- Open source contribution and building in public
- The intersection of product thinking and technical execution
| What | |
|---|---|
| Internships | Software Engineering, Backend, Full-Stack, AI-ML Engineering |
| Collaborations | Open source projects, AI/ML products, side projects with real users |

