• Engineered an interactive AI Tutor using Flutter and LLMs with tailored English/Spanish prompts for K‑8

biology education, driving a 35% increase in weekly active users.

• Built an AI‑driven content evaluation system using LLMs to score tutor responses on accuracy and engagement, improving internal content safety scores by 15%.

• Implemented a dedicated Relational Database (PostgreSQL) layer to store per-user quiz sessions, improving the reliability of analytics queries and cutting ad-hoc reporting time by 40%.

• Engineered optimized PostgreSQL queries and aggregation pipelines tracking engagement, difficulty progression, and retention across 10K+ student sessions, cutting instructor reporting time by 30% and enabling real-time dashboard scalability.

• Integrated Firebase Analytics event streams with backend query results, wiring change listeners that pushed real-time insights and boosted experiment iteration speed by 25%.

• Conducted user research to inform product direction for a K‑8 bilingual AI tutoring platform, identifying key learning gaps and content requirements that shaped the app's feature roadmap.

• Designed and iterated interactive UI/UX prototypes in Figma for quiz flows, lesson screens, and progress dashboards, translating educational requirements into developer-ready wireframes.

• Prototyped and developed interactive biology lessons and gamified quiz modules using Flutter, collaborating with educators to ensure age-appropriate content delivery and engagement.

• Developed secure transaction processing and account management modules in Java (Spring Boot, Spring MVC,Hibernate) within a 6-person Agile team, serving 500K+ banking customers and reducing transaction error rates by 20%.

• Built and maintained React-based frontend for a financial institution's web portal used by 200K+ customers, integrating 15+ REST API endpoints that improved user task completion rates by 25%.

• Improved Oracle data models and query logic for the payments module, cutting API latency by up to 80% and improving customer portal performance.

• Implemented automated End-to-End Testing and API testing frameworks using Python and Postman, along with Unit Testing, increasing automated test coverage to 80% and improving release reliability to 99%, preventing critical service disruptions.

• Built a Docker-based CI/CD pipeline on AWS EKS with Enterprise Observability, orchestrating automated Kubernetes deployments, reducing recovery time by 30% and improving system resilience.

• Built and tested 10+ RESTful APIs for a learning platform using Node.js and Express, enabling secure JWT -based authentication and reducing average API response time by 35%.

• Delivered a role-based access control system utilizing JWT-based authentication protocols that protected sensitive resources, decreasing unauthorized access tickets by 92% and bolstering overall system security measures.

• Engineered and optimized MongoDB schema designs with Express.js backend APIs and AWS cloud deployment, implementing PDF file routing to Cloudinary that directly reduced database storage costs by 70%.

• Automated environmental data collection by designing and programming an Arduino-based IoT weather station with temperature and light sensors, reducing manual monitoring time by 75%.

• Ensured data accuracy within ±2 °C and ±5% light intensity by implementing C-based firmware for sensor calibration and error-handling routines, enabling reliable real-time readings.