Developed and Integrated Machine Learning Models for Predictive Analysis: Leveraged machine learning algorithms to improve predictive accuracy and automate decision-making processes. Built and trained models using supervised learning techniques to analyze large datasets, identifying patterns and trends that informed key business strategies. Utilized Python libraries like Scikit-Learn and TensorFlow for model development and testing.Enhanced Model Performance and Interpretability: Optimized model parameters and conducted feature engineering to maximize predictive power while reducing model complexity. Focused on making models explainable by incorporating techniques that provide transparency into decision-making processes, allowing stakeholders to better understand and trust the results.Architected and Enhanced Spring Boot Microservices: Designed and optimized microservices architecture for fault-tolerant applications that run in real time, implementing best practices in microservices design. Improved system efficiency, reduced response times through targeted performance enhancements.Angular Tooling for Developer Productivity: Led the creation of reusable Angular single-page applications (SPAs) and tools, streamlining code practices and creating component libraries. This enabled faster project setups and improved UI consistency across applications.Spearheaded Cloud Migration and assisted CI/CD Implementation: Played a key role in migrating legacy applications to the cloud using AWS, enhancing scalability, reliability, and disaster recovery. Used CI/CD pipelines with Jenkins and Docker, significantly reducing deployment times and minimizing manual intervention.Process Improvement and Agile Collaboration: Contributed to Agile processes, participating in sprint planning, daily stand-ups, and retrospectives. Improved sprints by refining backlog prioritization and introducing automation to repetitive tasks.

Optimized code for performance and scalability: Identified performance bottlenecks and refactored code to improve application speed and reduce resource consumption, contributing to a more efficient and scalable product.Contributed to software architecture discussions: Participated in team discussions about system design and software architecture, learning best practices for structuring code and optimizing application performance.Learned and applied new technologies: Actively sought opportunities to learn new tools, libraries, and frameworks, staying up-to-date with industry trends and continuously expanding technical skills.Collaborated with stakeholders on technical requirements: Engaged with product managers, business analysts, and designers to clarify requirements, understand business needs, and translate them into technical solutions.Took ownership of complex debugging and troubleshooting: Led the identification and resolution of complex bugs, working closely with other engineers and cross-functional teams to fix issues impacting end users.Led refactoring and technical debt reduction efforts: Identified areas of technical debt within the codebase, proposed refactoring plans, and worked on improving legacy code while balancing project deadlines and feature development.

Developed and maintained software applications: Contributed to the development of features and enhancements for internal tools and client-facing applications, utilizing languages such as Java, Python, JavaScript.Worked with IBM Websphere Tools and message queues, as well as front-end Java frameworks like Struts and Angular.Participated in Agile development cycles: Contributed to sprint planning, daily stand-ups, and retrospective meetings as part of an Agile software development team. Delivered incremental improvements through two-week sprint cycles.Supported production environments: Provided technical support for production environments, addressing customer-reported issues, monitoring application performance, and deploying updates.

As a Teaching Assistant for a Python programming course, I played a key role in helping students grasp fundamental coding concepts and apply them effectively in their projects. I facilitated lab sessions, assisted with grading assignments, and provided personalized feedback to ensure students' progress. My responsibilities included guiding students through debugging processes, clarifying complex topics, and fostering an interactive learning environment. This role not only enhanced my own Python expertise but also strengthened my ability to break down technical concepts in a clear and accessible way, empowering students to succeed in the course.

Worked with computer science teaching staff to create learning modules for CS students.Modules focused on getting started with web development.Heavy focus on AngularJS.

I helped students understand Python by explaining coding concepts, debugging their code, and guiding them through assignments. I worked with the instructor to identify where students needed help and created extra resources. I also mentored students one-on-one and led group sessions to build their confidence in coding.

Designed and built Raspberry Pi-based monitors to optimize ventilator performance in hospitals.Developed Python Flask API to manage real-time data synchronization between all clients and main server.Constructed and soldered internal physical components of monitor.

Developed competition questions for annual CSTA coding competition for high school STEM students. Designed and built automated judging software reducing the need for large judging teams and enabling staff to engage with students.