- 👀 I’m interested in Machine Learning, Full Stack Development, AI Agents and Automation.
- Languages: Python, Java, SQL (Postgres), TypeScript
- Frameworks & Tools: Jenkins CI/CD, Git, Apache Airflow, MLflow, Qiskit, Streamlit, Docker, Maven, FastAPI
- Software: Power BI, Git, Alteryx, Power Automate
- Libraries: Pandas, NumPy, Matplotlib, Seaborn, scikit-learn, PyTorch, TensorFlow, SQLAlchemy, Alembic
- Other Skills: Cybersecurity, MS Excel, AWS
- Exploring Hybrid Quantum ML Architectures for Image Classification
Python, Qiskit, PyTorch, scikit-learn, MLflow, Matplotlib
- Third Place – Quantum Solutions for the Environment Challenge (Equal1), 2025
Python, PyTorch, Qiskit, Docker, OpenCV- Developed “Hybrid Quantum Machine Learning for Wildfire Detection”, a quantum science-based solution targeting early wildfire detection.
- Designed and trained a hybrid quantum–classical model to classify fire/smoke in images.
- Used OpenCV to process video streams and classify individual frames with the model.
- Containerised the full workflow with Docker and implemented a microservices-based architecture.