Jinu Nyachhyon
AI Researcher | ML Engineer
About Me
I am an AI Researcher at the Information and Language Processing Research Lab (ILPRL) at Kathmandu University, working under the supervision of Prof. Bal Krishna Bal. My research focuses on low-resource language modeling, with an emphasis on generalization.
I am also an AI Engineer at Insyde AI, where I have developed and deployed AI agents to automate financial calculations, multi-scenario evaluations, and user-facing email generation, achieving over 90% reduction in per-customer processing time.
My research interests lie at the intersection of Deep Learning, Vision-Language-Action, AI Alignment, and Interpretability. I'm driven by curiosity to explore problems across the full AI pipeline, always working toward building AI systems that are both capable and trustworthy.
Research Interests
Natural Language Processing
Large language models, multimodal learning, and cross-lingual transfer.
AI Alignment
Fairness, interpretability, and robustness of machine learning models.
Computer Vision
Object detection, image segmentation, and visual reasoning with limited supervision.
Reinforcement Learning
Sample-efficient RL, multi-agent systems, and applications to robotics.
Education
B.E. in Computer Engineering
Institute of Engineering, Tribhuvan University, 2018 - 2023
Research Area: Recommender System and Machine Learning
Advisor: Prof. Subarna Shakya
Recent Blog
December 29, 2023
Machine Learning Fundamentals: Part 5 - Advanced Topics and Real-World Applications
Final part covering MLOps, ethical considerations, and future trends in machine learning.
December 22, 2023
Machine Learning Fundamentals: Part 4 - Model Evaluation and Validation
Comprehensive guide to model evaluation techniques and validation strategies.
November 15, 2023
Understanding Transformers: Part 3 - The Complete Architecture
Exploring the complete Transformer architecture including encoders, decoders, and all components.
October 12, 2023
Advances in Multimodal Learning
Exploring recent advances in multimodal learning and AI systems understanding multiple forms of data.