Software engineer with 4+ years of experience in backend development and Agentic AI. Strong foundation in API design, scalable systems, and delivering production-ready solutions in high-pace environments.
Developed and deployed a Flask-based web application across AWS Elastic Beanstalk and Microsoft Azure, enabling scalable multi-cloud availability. Implemented Redis caching on Azure, improving system response time by 40% through reduced redundant database calls. Integrated load balancing and auto-scaling tested with JMeter, increasing application performance and durability under heavy traffic by 80%.
Accessed Stack Overflow REST APIs to extract Q&A datasets and stored structured results using SQLAlchemy for efficient querying and retrieval. Scraped and processed the top 500 movie records from Metacritic using Python to extract titles, directors, and cast, generating a dataset for analysis.
Designed a performance-optimized database with efficient query handling, triggers, and CRUD logic for an airline booking workflow, improving complex execution speed while keeping the backend logic structured and maintainable.