Professional Overview
AI/ML Engineer with 2 years of hands on experience building and shipping production AI systems. My work covers LLM fine tuning, Speech AI, RAG pipelines, agentic workflows and cloud deployment. I have trained and deployed 4 live models and currently working full time in AI while doing my MS in Computer Science from FAST University.
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.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
