Sanyam Kathed

ETH-Z Research Collaborator | Research LTU & IIIT-A | Summer School KTH Stockholm | Publications at ACMMM (A*) | AI & Research Lead WikiClubTech

Role
Research Intern at Luleå tekniska universitet
Location
Jaipur, RJ, IN
LinkedIn followers
500 followers
Research & DevelopmentView LinkedIn profile

About Sanyam Kathed

Undergraduate Computer Science (Data Science) student focused on multidisciplinary research at the intersection of machine learning systems, efficient and interpretable AI, security, and real-world deployment. My experience includes research internships at Luleå University of Technology and Allahabad, smart-city and sensing systems work at Manipal University Jaipur, and Edge AI training at KTH Royal Institute of Technology.I have collaborated with researchers from ETH Zürich and University of Toronto on secure, resource-efficient edge ML and advanced ML techniques with an emphasis on translating research into practical AI-based solutions for real-life problems. Technically, I work with Python, C++, PyTorch, TensorFlow, transformers, and modern ML tooling.Eager discuss opportunities, ideas, or just to connect!

Experience

  1. Research Intern

    Luleå tekniska universitet

    Sep 2025 — Present · Luleå, SE

    working under supervision of Dr. Rajkumar Saini in Machine Learning and AI systems. Contributed independently to research on AI fairness, interpretability, and efficiency, including cognitive bias benchmarking in human–AI dialogue. Developed end-to-end ML pipelines, annotation frameworks, and evaluation metrics. Designed and implemented importance-aware quantization methods for transformer models, achieving strong compression–accuracy trade-offs with reproducible experimentation.

Education

  • KTH Royal Institute of Technology

    Summer School, Edge Artificial Intelligence

  • Manipal University Jaipur

    Bachelor of Technology - BTech, Computer Science (Data Science)

    2023 — 2027

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Sanyam Kathed — Research Intern at Luleå tekniska universitet in Jaipur, RJ, IN | Unifers