Zain Subhani

I’m a Software Engineering student focused on building dependable AI/LLM and data applications, especially RAG pipelines and vector search systems that behave safely and predictably. I combine 1+ years of hands-on LLM/AI engineering with earlier, data-driven experience in operations and team leadership.

I translate business needs into technical solutions through iterative delivery in Agile/Scrum teams. I’ve built prompt-driven pipelines with structured outputs and LLM output evaluation to improve relevance, latency, safety, and grounding.

In my projects, I design systems that actively prevent hallucinations. For example, I’ve implemented retrieval-confidence gates that decline to answer when needed, offline-capable no-LLM modes, deterministic fallbacks (including TF-IDF), and audit logging for traceability.

Now I’m seeking a 6-month end-of-studies internship starting August 2026, where I can contribute to AI products that turn real data into trustworthy decisions. I want to work on end-to-end pipelines—from ingestion and retrieval to evaluation, monitoring, and reliable APIs.