Professional Overview
Experienced AI ENGINEER (3 years) with a Bachelor of Engineering in Computer Science. Proficient and hands-on experience in Python, Statistical Data Analysis, Machine Learning, and AI. Developed and deployed generative AI solutions that increased revenue by 15% and reduced processing time by 20%. Demonstrated ability to deliver actionable business intelligence, collaborate with cross-functional teams, and clearly communicate findings to non-technical stakeholders
Areas of Expertise
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
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.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
