Sharan

B.Tech Computer Science student with strong fundamentals in Operating Systems, Networks, DBMS, and Object-Oriented Programming. Proficient in Python and SQL with experience in implementing Data Structures & Algorithms. Skilled in developing full-stack applications and ML pipelines, leveraging knowledge in cloud environments and AI/ML/NLP technologies to build and troubleshoot complex systems. Eager to apply problem-solving skills to real-world AI challenges.

Research Intern at Centre of Cognitive Computing and Computational Intelligence (C3I) (2026-01 – 2026-05)

• Developed AdaptiveNet, an early-exit ResNet-32, demonstrating strong problem-solving and deep learning application skills.
• Designed a novel per-class adaptive threshold system using a custom two-sided hinge loss in PyTorch for efficient image routing.

B.Tech in Computer Science Engineering – PES University (2022 – 2026)