Hi 👋, This is Jagonmoy Dey

📫 Reach me at : jagonmoydey1997@gmail.com
Connect with me :

I am a Software Engineer with 2.5+ years of experience and passionate about building scalable systems that solve real-world challenges. With experience developing complex, multi-tenant platforms, I enjoy crafting reliable, high-performance applications across the full stack. I have a strong foundation in algorithms and data structures, and I'm equally drawn to research—especially in Natural Language Processing and the use of large language models to improve software development workflows, automation, and user experience.

• Has experience building scalable, multi-tenant SaaS applications used by hundreds of thousands of users.

• Has experience working with event queue architecture to build automated email systems that handle both scheduled and real-time triggers efficiently.

• Experienced in optimizing web performance and SEO through efficient data fetching, caching, and media delivery strategies.

• Has worked with rich media handling—developed features for optimized video streaming using MUX and efficient image rendering with Imgix and Next/Image.

• Proficient in developing responsive user interfaces with reusable components and supporting dynamic configurations.

• Experienced in integrating applications with OIDC-based authentication systems using NextAuth, including support for dynamic redirect and callback flows tailored to requirements.

• Has experience creating dynamic, responsive email templates and documents using MJML, custom renderers, and PDF generators.

• Capable of enhancing backend performance by optimizing not only SQL queries (PostgreSQL) but also working efficiently with NoSQL databases like MongoDB, in-memory data stores like Redis, and headless CMS platforms like Sanity—improving data access and query performance across different storage systems.

• Experienced in integrating Playwright and Jest into CI/CD pipelines for automated, reliable testing practices.

• Skilled in mentoring junior engineers through code reviews, training sessions, and workshop planning.

• Strong background in problem solving, with over 1200 algorithmic problems solved and 80+ contest participations.

• Worked on building an end-to-end system that combines speaker diarization and speech recognition to generate structured transcripts in Bengali—a low-resource language. Designed the pipeline using voice activity detection, speaker segmentation, clustering, and transcription with deep learning models and cloud-based APIs.

• Passionate about applying large language models to streamline software development workflows and enhance engineering productivity.