Siddharth Chauhan
Lead Software Engineer @Performance Advantage
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WORK HISTORY
Lead Software Engineer @Performance Advantage
Toronto, ON, CA
Working for Fresenius Medical Care (client) • Leading the full-scale migration of legacy CRM software to a modern, scalable system on Ubuntu servers, improving maintainability and system performance. • Rebuilding software modules using PHP and replicating legacy layouts, data relationships, and custom features to match existing workflows. • Developing Python scripts for automated reporting, data migration, and real-time synchronization with Microsoft Dynamics AX (MS SQL). • Designing PDF templates from scratch using mPDF library and testing them in Adobe Reader. • Designing and executing full database field mapping and transformation from legacy systems to a new database schema. • Integrating MS SQL data from external systems into the CRM using custom Python connectors and ETL data pipelines. • Performing user acceptance testing to ensure legacy CRUD operations, user logins, and module functionality are fully preserved. • Collaborating closely with Fresenius IT admins for RDP access, server rollbacks, system setup, and infrastructure updates. • Maintaining software packages, debugging dependency issues on Ubuntu (e.g, MSSQL-Python drivers), and handling server-side scripting. • Leveraging AI tools like Claude for fast issue resolution, dependency troubleshooting, and efficient code development. • Fixing Legacy Microsoft Dynamics Synchronization code which was generating duplicates and cleaned up growing database.
EDUCATION
Cambrian College
Post Graduation, Cloud Computing
Gujarat Technological University
Bachelor’s Degree, Computer Engineering
ABOUT SIDDHARTH CHAUHAN
Experience in building, testing, and deploying dynamic full-stack web applications- SQL scripting and backend database integration experience using MySQL/PostgreSQL database- Back-end development experience with NodeJS, Flask, Laravel, FastAPI and Django- HTML/CSS, JavaScript, VueJS, TypeScript and ReactJS for building responsive dynamic frontend applications- API development, documentation, and integrations experience (REST API, Swagger, GraphQL)- Web Scraping with Xpath, Scrapy Framework, Selenium, and BeautifulSoup- Basic Knowledge of using Python for Data Analysis and Data Visualization utilizing Pandas, Numpy and Matplotlib- Understanding of AI Architecture and Data Loaders for LLMs- Experience building AI powered Assistance with RAG and Fine-tuning so it can generating accurate output based on provided guides, instructions and supported documentation- Hands-on experience with Docker containers, and GIT for version control- Experience working in a Linux/Windows environment.
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