Headline

Full-Stack Developer | Next.js · Node.js · Python · AWS | Generative AI & NLP | Building AI-Powered Production Systems | M.Sc CS @ Calcutta ’26

About

👋 Hi, I'm Shirshendu Sen. I'm a Full-Stack Software Engineer specializing in building scalable, AI-powered applications from end to end. I enjoy transforming ideas into production-ready products by combining modern frontend development, robust backend systems, cloud technologies, and AI to solve real-world problems. 🎓 Education M.Sc. in Computer Science — University of Calcutta B.Sc. in Computer Science — University of Calcutta 🚀 What I Build Scalable Full-Stack Web Applications AI & Generative AI powered solutions Secure Backend Systems, REST APIs, and Microservices Modern React.js, Next.js, Node.js, and Flask applications Cloud-native solutions with AWS, Docker, and CI/CD 🏆 Selected Highlights Built MedGraph-AI, an explainable clinical NLP system that achieved 0.80 AUROC for 30-day hospital readmission prediction. Developed a Real-Time Collaborative Code Editor using Y.js CRDTs, Redis Pub/Sub, WebSockets, and Docker sandboxing. As a Generative AI Intern, improved transformer model accuracy by 18%, reduced inference latency by 12%, and helped launch an AI chatbot that reached 200+ active users in its first week. 🌱 What Drives Me I enjoy solving complex engineering challenges, designing scalable systems, and integrating AI where it creates measurable value. I'm passionate about continuous learning, clean architecture, and building reliable software that makes an impact. 🎯 Open to Opportunities I'm currently seeking Software Engineer, Full-Stack Software Engineer, Backend Engineer, and AI Engineer roles where I can contribute to building scalable, high-impact products while continuing to grow as an engineer. 🤝 Let's Connect 📧 Email: shirshendusen7@gmail.com

Location

Kolkata

Work experience

Generative AI Intern at AI Wallah, May 2025 - Jun 2025 · 2 mos, Remote, - Optimised transformer-based NLP models using OOP design principles, achieving an 18% accuracy improvement and 12% latency reduction — both changes adopted directly into the production pipeline. - Architected and deployed a RESTful AI chatbot to production, acquiring 200+ active users within the first week and exceeding the 30-day onboarding target by 4x. - Built and integrated REST API endpoints connecting the NLP backend to the chatbot frontend, enabling real-time inference with sub-200ms response latency. - Implemented CI/CD pipelines for automated model deployment, reducing manual release effort and enabling continuous integration across the NLP workflow. - Applied prompt engineering techniques to improve model response quality, iterating on transformer model configurations to balance accuracy and compute cost. Skills: Python · Transformer Models · NLP · Generative AI · REST APIs · CI/CD · OOP · Prompt Engineering

Education

Master of Science (M.Sc), Computer Science, Asutosh College

Bachelor of Science, Computer Science, Bidhan Chandra College Rishra