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I'm an AI Engineer, working across the full spectrum of applied machine learning — from NLP pipelines and LLM integrations to production-grade agent systems. I am currently completing my MS in Data Science at NED UET, where my thesis explores how recursive refinement and semantic clustering can push LLMs toward more faithful, source grounded outputs.
Reach me at fahadabid545@gmail.com
- MS Thesis | A recursive refinement framework that clusters document content, then iteratively finds and patches gaps in LLM-generated answers. Goal: more faithful, grounded outputs than a single-pass generation can achieve.
- Production AI systems | Deployed and maintaining realworld LLM powered applications in a professional setting.
- Open-sourcing | Moving select research and personal projects to public GitHub repositories.
Languages & Core
ML / DL Frameworks
LLMs, NLP & GenAI
MLOps, APIs & Cloud
Data & Visualization
Tools & Workflow
- Oracle Cloud Infrastructure 2025 Certified Generative AI Professional — Oracle
- AI Fluency: Framework and Foundations — Anthropic
- Elements of AI — University of Helsinki
- Creating Charts and Dashboards Using Microsoft Excel — Coursera
- Manufacturing Resource Planning — Odoo
I'm currently open to better opportunities, particularly positions involving LLMs, Generative AI, NLP, or intelligent agent systems. If you're building something meaningful in this space, I'd love to connect.
Reach me at fahadabid545@gmail.com
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