Ghazala Arshad

I am a self-taught AI Agent Developer and LLM Engineer with over five years of hands-on experience in prompt engineering, AI-assisted coding, and trust & safety systems.

I have designed and deployed production-grade Retrieval-Augmented Generation (RAG) and multi-agent systems using LangChain, CrewAI, Groq Llama-3-70B, Pinecone, Weaviate, and Chroma, and I build fully autonomous workflows for research, code generation, data extraction, and customer support that run 24/7 with observability and self-healing.

I ranked in the global top 1% by completing all three rounds of Google’s Prompt-to-Agent Engineering challenges (2024) and created advanced prompt templates and chaining strategies that improved output accuracy by 35–60% across Claude-3, GPT-4o, and Llama-3 models.

I also develop and maintain jailbreak detection, harmful content classification, and policy-violation testing pipelines, and I have automated code generation and review workflows and task automation processes that reduced development time by 70%+ while delivering production-ready agents with logging, retries, cost-tracking, and human-in-the-loop fallbacks.