🌟 Software Engineer specializing in building scalable, multimodal AI and full-stack systems. Passionate about Visual AI, automation, cloud-native architectures, and developer-focused SDKs.
📍 Dhaka, Bangladesh
- Software Engineer at VLM Run – Architecting a multimodal chat platform that visualizes text, images, PDFs, audio, and video in real-time using an OpenAI-compatible SDK, streaming, tool calls, and advanced visualization layers.
- Full-Stack & Cloud Expert – Building secure, scalable, low-latency systems. Implementing CI/CD with GitHub Actions and containerized deployments for rapid iteration.
- Open-Source Contributor – Maintaining
vlmrun-hub, a catalog of Pydantic schemas for Vision-Language Models, now with 500+ GitHub stars. - Formerly led digital finance at Sonali Bank PLC, scaling Sonali e-Wallet for 800,000+ users and $19M monthly transactions, implementing EMV QR-code payments recognized by the CEO.
- Languages: Python, Java, Kotlin, JavaScript, TypeScript, C, C++
- Backend: FastAPI, Spring Boot, Node.js, Express, Hibernate, JWT
- Frontend: Next.js, React, TailwindCSS
- Databases: PostgreSQL / Cloud SQL, MongoDB, Redis, Oracle, MySQL
- Cloud & DevOps: GCP (Cloud Run, Cloud Build), Microsoft Azure, Docker, GitHub Actions, Sentry, Logfire
- Other Tools: Postman, Zapier, n8n, JIRA
- Multimodal AI Systems – Architected real-time platforms handling text, image, PDF, audio, and video with advanced visualizations and streaming.
- Scalable Finance Solutions – Developed and maintained Sonali e-Wallet, processing 250,000+ monthly transactions (~$19M) and introducing QR-code payments, improving adoption by 40%.
- SDK & Automation – Built Node.js SDKs and workflow integrations in n8n and Zapier to streamline developer adoption and automate complex workflows.
- Open-Source Leadership – Maintained vlmrun-hub, driving community engagement with high-quality Pydantic schemas for vision-language models.
- Sonali Bank PLC – Recognized by CEO & MD for QR-code smart banking innovations.
- Publication – SoftCOM 2022: Facial expression detection in children with autism using humanoid robots, employing Python, OpenCV, Keras, TensorFlow, and PyTorch.
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