Professional Overview
Computer Science graduate from FAST NUCES, focused on AI engineering. My focus is on the engineering side of LLMs: designing tool-calling schemas, managing context and conversation state, and wiring models into applications that actually do something useful. Working across OpenAI, Anthropic, and Gemini APIs, and working toward RAG and agentic systems. Background in Python, PyTorch, and HuggingFace Transformers, with earlier project work in NLP (BERT-based classification) and deep learning. I care about understanding systems thoroughly rather than just getting things working and I'm always building something to test what I've learned.
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.
