[last updated: 4 Sept 2025]
Currently I'm working as a Teaching Assistant in CS Department while pursuing Master's at Binghamton University. Previously, I was a full-time Software Engineer at Pridesys IT Ltd. I graduated from CSE, BUET. I developed end-to-end AI pipelines in a production-level ERP software. I also served as a Lead DevOps Engineer at Brainlytic, where I designed and deployed scalable, production-ready cloud infrastructure and automated CI/CD pipelines, reducing deployment efforts by 90% and scaling systems to serve 2000+ users.
I bring hands-on experience in developing production-grade solutions across Web Applications, AI/ML, DevOps, and Cloud Infrastructure, with a strong focus on scalability, reliability, and real-world impact.
💡 I'm open to new opportunities in the domain of ML engineering, DevOps and cloud infrastructure! Feel free to reach out to me on LinkedIn or email me directly.
Languages
AI/ML
DevOps and Cloud
Frontend
Backend
Databases
- Develop Agentic AI system with RAG using LangChain
- Self-hosted local LLMs using Ollama
- LLM Analytics and Tracing with self hosted Langfuse
- CI/CD using Watchtower, Docker, Github actions
- Manage cloud infrastructure on Azure using services like Azure Kubernetes Service (AKS), Azure Container Registry, Azure Database for PostgreSQL flexible server, Azure Static Web Apps, Azure Key vault
- Configure Traefik as Reverse Proxy and setup SSL using Let's Encrypt
- Mange secrets using HashiCorp Vault
- Mobile app development in Flutter and Native Android app in Java
- Load testing using k6 and Apache JMeter
- Configure and manage DNS in Cloudflare
- Built a Compiler (flex-bison) from scratch
A web-based early warning system to warn the households living in coastal regions of Bangladesh in case of river erosion. This project is under IWFM, BUET and funded by ICT Division Bangladesh.
- Workshop on AI and API at BUET CSE Fest 2024