¤ Enhanced front-end code in React to ensure alignment with new requirements and feature specifications, resulting in improved user experience and client satisfaction, by collaborating with developers and clients to troubleshoot and optimize code.¤ Built a pipeline (React, Python, Flask) to display and execute Terraform modules as a graph, enabling cloud engineers to design and run custom module pipelines for efficient resource provisioning by using a flowchart library (react-flow) and Docker.¤ Participated a research project on COBOL code and explored modernization using Azure AI Studio and prompt engineering, demonstrating AI's potential to efficiently update legacy systems through AI-driven tools and techniques.¤ Developed a secure REST API layer (FastAPI, Pydantic, Azure App Services) to enhance data integrity between Azure Cosmos DB (SQLAlchemy) and Azure API Management, achieving increased data protection and reducing security vulnerabilities by 25% .¤ Worked with a team to build a React app with a Python Flask backend, leveraging Azure Document AI to extract critical information from insurance forms, earning 1st place in an internal hackathon.

¤ Designed and released a novel customer portal React component feature as an NPM package (@archetypeapi/portals), that facilitated seamless integration and contributed to the sales team successfully acquiring over 10 potential clients.¤ Implemented backend endpoints enabling secure storage and modification of Stripe payment methods while ensuring the safety of Stripe data on the front-end¤ Revamped the landing page and constructed a live data pipeline capable of receiving and filtering emails from the landing page using Hubspot (CRM) and Apollo integration for data enrichment purposes.¤ Created an internal website using Vercel and Next.js, integrated with NextAuth.js, to empower employees with the ability to customize and showcase customer portals and pricing portal projects to customers.

¤ Headed the development of a new website for the University Senate utilizing HTML, CSS, JavaScript which improved the staff's efficiency by 10% by minimizing redundant calls and meetings.¤ Extracted and analyzed 5 years of course review data using Python and presented the results automatically using Matplotlib, reducing staff workload by 40% by removing manual documentation of data.¤ Completed 5 additional important projects that enhanced various aspects, including student survey creation via Qualtrics surveys, tool documentations, and Visio workflow chart.

¤ Accumulated and restructured windmill performance and local weather time series data, extracted using Python to derive meaningful patterns and information from it.|¤ Performed data cleaning by isolating correlated features and removing incomplete and unwanted data for senior developers using Pandas and Numpy thereby reducing their workload by 30%¤ Built data models around the windmill telemetry and derived meaningful insights using a random forest model (sci-kit learn).

¤ Designed and developed software pipelines to connect and send information using Oauth2.0 and Slack APIs from backend services (Node.js & MongoDB) to authorized slack channels¤ Improved the efficiency of Mongoose.js queries thereby increasing the speed of internal tools by 50% helping sales team be more effective¤ Reduced company server expenditures by 25% and improved customer retention by resolving a persistent memory leak issue.

¤ Developed a sophisticated chatbot with a dynamic dialogue flow using the IBM Watson Conversation Tool.¤ Implemented a Node.js backend service with REST APIs, enabling users to interact with the chatbot through conversational exchanges.