Exceptional reasoning, logic structuring and analytical thinking.
Ability to design deterministic, controlled, and testable prompts for production behaviour.
Deep understanding of temperature, top-p, top-k, seed, max-tokens, repetition penalty, and their effects on model behaviour.
Strong mastery of LLM guardrails, prompt-injection defense, role separation, Meta Logic, and system level prompt design.
Solid understanding of modern LLMs and NLP systems (GPT, Claude, LLaMA, Qwen, Mistral, etc.).
Knowledge of low-latency model families, quantization (GGUF, INT4/8), and inference trade-offs.
Clear understanding of RAG, embeddings, vector DBs — including when not to use them.
Ability to run evaluation pipelines (accuracy, F1, hallucination rate, consistency, JSON validity).
Highly detail-oriented, structured thinker, fast learner.
Strong communication, able to explain reasoning clearly and concisely.
Comfortable building measurable experiments instead of intuition-based prompting.
