Enterprise Application Development: Developed an enterprise application for decision tracking and capacity assessment. Designed and implemented the API using Java Spring and the UI with Angular, applying Spring Security best practices with token-based authentication and a cost-effective MFA solution.Cloud & DevOps: Managing cloud infrastructure and automating deployments with AWS and Microsoft DevOps.API Integration & OCR Technologies: Integrated Microsoft Graph API for email services and utilized AWS Textract and custom OCR models with Python for document recognition and processing.

𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗶𝗻 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲• Developed machine learning models to predict outcomes related to dialysis treatment using Python, Scikit-Learn and XGBoost• Improved performance of ML models using hyperparameter tuning (random search) and ensemble techniques (bagging, boosting and stacking)• Evaluated model performance using using 10-fold cross validation on relevant metrics (AUC, accuracy, precision, recall)𝗗𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺• Built a unified SQL interface capable of querying data across different types of databases residing in different environments, servers and organizations using Python, IBM Db2 Big SQL and Hortonworks Data Platform (HDP)• Researched and prototyped methods to enable easy integration of new servers to become discoverable in the unified SQL interface𝗔𝗻𝗱𝗿𝗼𝗶𝗱 𝗔𝗽𝗽 𝗳𝗼𝗿 𝗠𝗼𝗯𝗶𝗹𝗲 𝗘𝗖𝗚 𝗣𝗿𝗼𝗱𝘂𝗰𝘁• Developed an Android app to measure and report ECG acitivty obtained from a 12-lead portable ECG device using Java and Android Studio• Implemented and optimized novel decision support and signal processing algorithms originally written in Matlab using Java, MPAndroidChart and JTransforms

• Implemented a machine learning algorithm to predict quantity of software defects using Python and Anaconda• Designed and built a web interface to display trends and predictions of bugs using Django and Bootstrap• Implemented an automatic system to build installation packages for binaries and libraries within Visual Studio

• Increased reliability of data update daemon by 80% through optimizing the automation algorithm and extending exception handling• Implemented a data comparison model using OLAP cubes technology to enable 3-dimensional pivoting and filtering of data

• Deployed over 50 web applications to testing and staging environments using IBM WebSphere

• Identified and proposed fixes for vulnerabilities with Microsoft Office VBA macros

• Reduced verification time by 30% for remote drive encryption by developing an automated script

• Repaired computers with issues such as viruses, slow performance, missing drivers, windows operating system errors and hardware malfunction.