Professional Overview
AI and Backend Engineering student at FAST-NUCES with hands-on industry experience building production-grade GenAI systems. Skilled in RAG pipelines, LLM integration (LLaMA-3, Claude, OpenAI), vector databases, and backend development with FastAPI and Flask. Proven ability to deliver real-world projects, from semantic search systems and legal Q&A
Experience
AI Expertise
Skills
Employment Type
Education
Field of Study: AI and Machine Learning, Generative AI
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
