Suparn
Nayak
Computer Science student building DSA-first systems, AI applications, and practical software products. I enjoy turning ideas into working software with clean logic and measurable results across 10+ projects.
Builder of
Intelligent Systems
I'm a Computer Science student focused on software engineering, machine learning, and strong problem-solving foundations. My projects usually start from a real use case and are shaped by efficient algorithms, practical system design, and clear trade-offs.
From disaster relief matching and hospital forecasting to RAG-based screening and UAV vision pipelines, I like building software that combines data, intelligence, and product thinking into something useful.
System Status
Selected Work
Forecast ready
DB-first serving
Advisory generated
Build with logic.
Ship with purpose.
I like projects where algorithms, data, and user impact come together. My approach is to understand the problem deeply, choose practical tools, and keep the implementation grounded in measurable outcomes.
Achievements
Solved 250+ DSA problems with a strong focus on problem solving and core data structures.
Built 10+ projects ranging from foundational builds to higher-level AI, systems, and practical software applications.
Mentored 50+ students in Data Structures and Algorithms during CSOC.
What I Build
DetailsAlgorithms & Systems
I enjoy building systems where data structures, ranking logic, and efficient processing directly shape the product.
AI Applications
Forecasting, RAG pipelines, advisory systems, and computer vision workflows that combine ML with usable products.
Ready to collaborate?
I'm currently open to internships, project collaborations, hackathons, and interesting software problems.