I'm a Computer Science student at the West University of Timisoara, graduating in 2027, looking for a junior backend/full-stack role or internship.
I recently completed a six-month software development internship at Webamboos (6 months, 2026). I developed an internal employee onboarding tracker using React, TypeScript, NestJS, Prisma, and PostgreSQL, helping HR, IT, and managers coordinate new hire preparation. Features included checklists, task assignments, automatic deadlines, role-based access, and progress dashboards.
Outside work, I created Nexus, a platform for monitoring alarms and events from sensor infrastructure. It supports webhook ingestion and deduplication, real-time dashboards, email alerts, and incident discussions to help engineers investigate incidents. The stack is Go, Python/FastAPI, React, PostgreSQL, and Docker.
I enjoy backend development, investigating how systems work, and building useful applications. I also regularly practice coding without AI assistance to strengthen my fundamentals.
Junior backend dev, 1 year at a sub-10-person company — working with a small team with nice communication and time/tasks managements learnt on the way. Recently built Nexus, a platform to monitor the alarms and events from a infrastructure with sensors - making it easier for the engineers to solve the events.
I'm looking for a team with (some) senior engineers I can learn from, since I like working in this domain and exploring.
I'm wondering if the author ever thought about signaling the driver via a button on the grab rail so it's not every stop(if the bus stop is empty so there are no passengers outside waiting to get in) but every 3-4 stops.
Education part is on point and as a CS student that sees many of his colleagues using way too much the AI tools for instant homework solving without even processing the answers much.
I don't know that, mostly speculating based on how mixture of experts is outperforming decoder-only architectures, which means we're already composing transformers to squeeze the most out of it, and still it seems to fall short. They have already been trained with incredible amounts of data, and it still needs to be composed into multiple instances and needs even better hardware and it seems it has reached diminishing returns. The question is will the little that is left to optimize be enough to have it be truly agentic and create full apps on its own, or will it still require expert supervision for anything useful.
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