Untitled

Development
Delivered clean, efficient, and maintainable Python code, adhering to best practices, principles, and advanced Python concepts.
Developed modular, reusable, and optimized functions, leveraging Python libraries supporting multiprocessing to enhance performance for time-intensive tasks.
Researched and integrated various libraries to develop advanced UI components like graphs, multi-page apps, and tables, leading to the creation of 80-85% of the BRE Streamlit Demo UI.
Designed and implemented FastAPIs to ensure seamless backend-frontend integration, with robust exception handling for reliability.
Provided consistent support to peers, assisting in tasks requiring additional expertise.
Testing
Introduced pytest for streamlined, single-command testing, increasing testing efficiency and accuracy.
Manually designed ground-truth test cases based on COBOL syntax to ensure comprehensive test coverage.
Took initiative in identifying critical bugs during development, preparing detailed bug reports that streamlined resolution efforts and enhanced the application's reliability.
Deployment
Successfully hosted and monitored the BRE Streamlit application, ensuring error-free transitions during demos and uninterrupted user experiences.
Prepared the application to perform optimally for last-minute updates, enabling smooth delivery during critical demos.
Capability Building
Enhanced regex-building capabilities to ensure precise COBOL statement extraction, covering all possible cases.
Acquired new skills in CSS, HTML, and JavaScript to enhance UI functionality and improve user experience.
Explored and utilized UI libraries to integrate advanced features seamlessly into applications.
Deepened knowledge of COBOL programming to align Python logic with business requirements, ensuring optimal outcomes.
Implemented batch processing techniques for faster execution of independent processes.
Research
Researched and evaluated libraries for UI development and graph integrations, selecting the most effective options for project needs.
Studied advanced Streamlit features to optimize the UI components of the application.
Explored graphql and cozo databases for potential project applicability.
Independently investigated COBOL statements, semantics, and functionality, collaborating with mainframe experts to ensure accurate Python implementations also proactively brought up new cases to discuss if they were valid and are to be handled ensuring all the edge cases are covered leading to less rework.
Delivery Support
Delivered daily PI Extraction Reports to the Business Analyst team with accuracy and timeliness.
Created, maintained, and updated project documentation to reflect changes and ensure clarity.
Designed visually impactful PowerPoint presentations for key projects like BRE and Payment Integrity.
Delivered tailored Excel solutions for the CPBRE project, automating complex calculations and data table joins using Python.
Assisted peers by providing regex-building guidance and supporting tasks requiring additional expertise.
AI/ML Competency
Analyzed confusion matrix graphs to evaluate model performance against benchmarks.
Learned end-to-end AI/ML workflows, from data preparation to model deployment, and created diagrams and slides to aid team presentations.
Explored tutorials on Generative AI, Google Gemini, and GPT models to prepare for upcoming AI-focused projects.
Collaboration and Engagement
Attended all scheduled and optional project meetings, actively contributing and gaining insights into ongoing and upcoming projects.
Proactively ensured the application was demo-ready, handling pre-meeting preparations to avoid last-minute issues.
Contributed to organizational events like Annual Day and Awards Day, fostering engagement and collaboration within the workplace.
Organizational Metrics
Exceeded Work-from-Office targets, completing 30 days on-site against a requirement of 25.