Developed a Trading Application across three platforms: a web-based SPA using HTML, CSS, and JavaScript with Flask; React with Node.js; and an Android app, employing a micro services architecture and deployed on Google Cloud Platform (GCP).

The Credit Card Risk ML project enhances credit risk assessment by reworking code, preprocessing data, and optimizing features. It involves scaling, encoding, re-balancing, and tuning model parameters to improve performance and accuracy.

Engineered an Alexa-controlled drone by developing custom Alexa Skills Kit trained for diverse utterances, utilizing AWS Lambda for event-driven functions, and implementing a full-duplex MQTT protocol connection for seamless interaction with AWS IoT services.

Designed and Developed a three-tier architecture Dating Application using Flutter for frontend and hosting on a dedicated server. Executed a unique profile recommendation algorithm based on music compatibility, utilizing SQL for user data and NoSQL for matching processes.

An Android application designed to streamline gym data management for gym owners. Gymster serves as the ultimate tool for organizing and tracking each client's personal information and workout sessions efficiently, ensuring a seamless experience for both owners and clients.

Orchestrated a fully automated CI/CD pipeline using Jenkins, with Git hooks for SCM and stages for build, test, and deploy, integrated with AWS CodeDeploy for EC2 deployment via Auto Scaling and S3 artifact management. Configured monitoring through Amazon CloudWatch with alarms for scaling actions and enabled automatic rollback on deployment failures.