Raipur, Chhattisgarh, India
https://knowpratikchaudhary.netlify.app/
-Designed and developed scalable backend platforms and distributed services supporting enterprise-scale workflows across multiple teams. -Built high-performance APIs and asynchronous processing systems using FastAPI, Kafka, PostgreSQL, Redis, and cloud-native architecture. -Improved backend latency and system efficiency through query optimization, caching strategies, and workload balancing. -Developed metadata-driven workflows and reusable backend components to improve engineering productivity and scalability. -Led performance optimization, observability, and monitoring initiatives to improve production reliability and debugging efficiency. -Worked across the full SDLC including architecture discussions, implementation, deployment, CI/CD, testing, and production ownership. -Collaborated with stakeholders and engineering teams to design scalable solutions and improve platform maintainability. -Built automation tooling that reduced operational overhead and improved deployment validation processes. -Received multiple engineering recognition awards for technical ownership, innovation, and platform impact.
-Built and supported backend services and internal platforms used across enterprise workflows and analytics systems. -Developed REST APIs and automation workflows to streamline business processes and reduce manual effort. -Worked with Python, SQL, and cloud-based tools to build scalable and maintainable backend solutions. -Collaborated with cross-functional teams to gather requirements, implement features, and improve platform usability. -Contributed to debugging, testing, and production issue resolution to ensure reliability and performance. -Assisted in monitoring and logging improvements to increase visibility into system health and operational issues. -Participated in code reviews and followed SDLC best practices to maintain engineering quality.
- Intern in Asset-Backed Securities Team
-Worked on a GUI service used for data transformations on SQL/NoSQL(MongoDB) databases which was earlier done by writing Perl or SAS codes. -Used Pandas as the lightweight solution for data transformations and Django Rest Framework as the backend stack. -Made the GUI from scratch using React as the frontend and Redux for state management. -Tested for dataframes having about 1 million rows and reduced the RAM usage using Panda chunks to test larger dataframes.
-Worked on a scalable enterprise storage solution of digital assets. -The data is stored in hierarchical fashion at the backend , and supports all the filesystem functionalities such as upload, download, move, delete, share, etc. (Visit the hosted website at vicara.netlify.app) -The data is stored on AWS and can be accessed with pre-signed URLs from our secure access gateways between users. -It is scalable, so any cloud storage can be integrated with the same existing APIs.