About me

Hi, I'm Iram Tazim Hoque — a Software Engineer passionate about building scalable, efficient, and user-centric software solutions that bridge technical complexity with real-world impact.

At BeyondEdge Networks, I contribute to the development of advanced SD-LAN systems, working across the full stack to craft intuitive user interfaces, implement AI-driven tools like network chatbots, and ensure seamless integration with backend and networking infrastructure. My work spans performance optimization, microfrontend architecture, and frontend-backend data consistency — all aimed at delivering reliability, performance, and outstanding user experience.

Alongside my software engineering expertise, I have a strong foundation in Applied Machine Learning. I’ve worked on designing intelligent systems for domains like medical imaging and traffic-scene generation, and developed ML-based tools using CNNs, Transformers, and classical NLP libraries. My contributions include published research, building end-to-end ML pipelines, and deploying data-driven solutions to solve real-world problems. Even in my current role, I remain deeply interested in integrating ML where it enhances automation, usability, and system intelligence.

With a Master’s degree in Computer Science from Purdue University and a Bachelor’s from BUET, I focus on building clean, maintainable, and impactful code. I enjoy solving complex challenges in cross-functional teams and constantly strive to evolve my skills to drive meaningful business outcomes.

Currently, I'm actively seeking full-time software engineering(II) roles where I can contribute my skills and expertise.