AI &
Data Science.
Building intelligent, scalable systems with mathematical precision and human-centric design.
"Large Language Models and Interpretable AI architectures."
The engineering mind behind.
"Bridging theoretical research with production-grade AI."

Key Domains
- NLP Engineer
- GenAI Solutions
- Cloud Native (AWS)
- Data Visualization
Open to high-impact internships for the 2026 cohort.
Selected
Projects.
Thinking.
"XAI: EXPLORING THE BOUNDARIES OF INTERPRETABLE MACHINE LEARNING SYSTEMS."
Research focused on improving transparency in black-box models using SHAP and LIME architectures. Published and verified by peer review.
Read PublicationDoing.
AWS VIRTUAL INTERNSHIP
Architected and deployed modular machine learning pipelines using AWS SageMaker. Improving model drift detection by 15%.
AMAZON ML SCHOOL
Intensive study of modern transformer architectures and large-scale data systems. Finalist in cohort-wide Kaggle challenge.