Professional Overview
Information Technology engineering student with strong hands-on experience in Python, Java, JavaScript, AI/ML, and full-stack development. Skilled in building AI-powered applications using FastAPI, Django, React.js, TensorFlow, Hugging Face, and RAG pipelines. Experienced in developing real-world projects involving predictive analytics, forecasting
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.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
