Experienced Full Stack Engineer with over 6 years of hands-on experience in designing, deploying, and maintaining scalable web applications across cloud environments, particularly AWS. Proven track record in backend development using Ruby, Python, and Java, with strong expertise in deploying production-ready applications using AWS services such as EC2, Lambda, S3, and RDS. Recently completed a Master's in Data Science and AI, adding advanced capabilities in machine learning and LLMs. Adept at working in Agile environments, collaborating with cross-functional teams, and translating complex business requirements into robust technical solutions.
Deployed full-stack applications on AWS using EC2, S3, and RDS, ensuring scalability and reliability
Involved in the design and development phases of applications using Ruby, Rails (5.0.1) framework and vs-code IDE
Professional Projects
1. SmartZip — https://st5.smartzip.com/users/sign_in
Ruby on Rails developer for real estate analytics platform with advanced data visualization and predictive modeling
2. Review Maiden — https://staging.reviewmaiden.com
Fullstack developer for review management system with business analytics and sentiment analysis
3. Curbside Health — https://www.curbsidehealth.online/
Backend developer for healthcare scheduling platform with data analytics
Academic Data Science Projects
1. Predictive Analytics Model
Developed machine learning models for business forecasting using Python, Scikit-learn, and statistical analysis techniques
2. Business Intelligence Dashboard
Created comprehensive data visualization dashboards using Tableau and Power BI for business analytics and decision-making
3. AI-Powered Application
Implemented artificial intelligence solutions for data processing and pattern recognition using TensorFlow and Keras
4. Data Analytics Pipeline
Built end-to-end data processing pipelines for large-scale data analysis and automated reporting systems
Hold full working rights in Australia, enabling immediate and flexible employment opportunities.