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Agni Bhattacharyya
Building FunnelStory
About
Agni Bhattacharyya is a skilled software engineer with a focus on backend development and DevOps. With proficiency in Python, C/C++, and knowledge of GoLang basics, he has written production-level services and APIs in Django and completed mini-projects in Flask. Additionally, he has experience in containerization using Docker and orchestration with Kubernetes, and has worked on deployments to Azure and Google Cloud using Terraform. Currently working as an SDE-1 at Mate Labs, Agni has developed a Flask backend for asynchronously downloading files from any SFTP server directly to Azure file storage. He has also set up the MinIO Kubernetes operator for static file storage on the AKS cluster and deployed it using Terraform. Agni has worked independently on payment integration from scratch in Django using Chargebee as a subscription management platform and Stripe as a payment gateway. Prior to his current role, Agni worked as an SDE Intern (Backend) at Mate Labs, where he wrote a custom authorization server in Django that communicates with Keycloak and permits/denies permissions for a particular resource/scope. He also integrated Kong (API gateway) and wrote a custom Kong plugin in GoLang, which structures requests before sending them to the upstream server. Additionally, he automated JupyterHub deployment on GKE using the Kubernetes Python client and the Avionix Python package (for Helm charts). Agni holds a Bachelor of Engineering in Electrical and Electronics Engineering from Birla Institute of Technology (BIT), where he graduated in 2021. His tech stack includes Terraform, Django, Kubernetes, Flask, Python, Docker, Azure, Redis, DevOps, Integration, Golang, and deep learning. With 2.28 years of relevant experience, Agni is a highly skilled software engineer with a passion for backend development and DevOps.
Education Overview
• bit mesra birla institute of technology
Companies Overview
• funnelstory
• mate labs
• chegg
• surepass technologies
• codeasylums
Experience Overview
3.3 Years
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