Professional Overview
Aspiring AI Engineer and Data Science student with hands-on experience building advanced, production-ready intelligent systems. Proficient in designing robust architectures using LangGraph, LangChain, and Corrective RAG (CRAG) pipelines. Proven track record of developing high-precision machine learning solutions, including a multi-disease diagnosti
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Engineered a Random Forest classifier with 88% predictive accuracy to analyze ch
Key Achievements / KPIs
- Deployed an ML platform with high-precision models: Kidney (100%), Heart (98.5%)
Education
Field of Study: Artificial inteligence and data science
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.
