I'm a final-year Artificial Intelligence & Machine Learning undergraduate with a strong interest in building reliable software systems that combine backend engineering, data pipelines, and applied machine learning.

I enjoy working on real-world problem statements where models, data, and APIs come together to form practical, production-style systems rather than standalone experiments.

• Backend development using Python and FastAPI
• Designing clean REST APIs and service layers
• Data processing and ETL pipelines
• Integrating machine learning models into real systems

• Hybrid Cascade Log Classifier
  Rule-based + ML + LLM-based log classification system with modular pipelines and FastAPI backend.

• LifeLink – Emergency Ambulance Routing System (IISc)
  Real-time ambulance dispatch and route optimization using live traffic data and graph algorithms.

• World Development Indicators Analytics Platform
  API-driven ETL pipeline for global indicators with analytics-ready data modeling.

• OCTVision – Retinal Disease Detection API
  Deep learning inference service exposed via REST APIs for medical image analysis.

• Languages: Python, SQL
• Backend: FastAPI, Flask
• Databases: PostgreSQL
• Data & ML: Pandas, Scikit-learn, TensorFlow
• Tools: Git, GitHub

• Backend system design fundamentals
• Database schema design and optimization
• Scalable data pipelines
• Distributed systems basics