AI Engineer specializing with 3.5 years of experience in LLMs building agentic AI systems, RAG pipelines, and fine-tuning models with Python & FastAPI.
Download CVI'm a Machine Learning Engineer specializing in Large Language Models, with a focus on building domain specific conversational AI systems that are grounded, accurate, and genuinely useful not just technically impressive. My work spans the full lifecycle of modern LLM engineering. I design modular pipelines with DSPy, build agentic systems using Microsoft Azure AI Foundry, and fine-tune models like LLaMA 3, Qwen 3, using techniques like QLoRA. I'm particularly passionate about Retrieval Augmented Generation to close the gap between what a model generates and what's actually true. Currently, I'm a Machine Learning Engineer at AIREC, where I lead the development of automated data pipelines and am driving a shift from traditional fine-tuning toward inference time optimization to reduce operational costs without sacrificing quality. Previously, at Datalytics AI, I designed inference pipelines for content-based recommendation systems that delivered more personalized user experiences. Beyond model development, I care deeply about the systems that support it. I build production grade backends with Python and FastAPI. I hold a BS in Computer Science from Iqra University, along with certifications in Generative AI with Large Language Models (Coursera), Data Science & Machine Learning (Dice Analytics), and Data Analytics (Brainnest). What matters most to me is building AI that's trustworthy systems that are technically sound, thoughtfully engineered, and designed with real users in mind. If you're working on something in this space, I'd love to connect.
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