Ananda Rimal

AI Instructor · Mindrisers Institute of Technology, Nepal

• Teach Machine Learning from Scratch to Bachelor's, Master's, and PhD students, emphasizing mathematical foundations, core algorithms, and hands-on implementation using Python and PyTorch.
• Deliver comprehensive training in Deep Learning and Neural Networks, covering architectures, backpropagation, optimization, and practical model development.
• Teach Transformer Architectures and Large Language Models (LLMs), including attention mechanisms, model pretraining, fine-tuning, and post-training techniques.
• Introduce Reinforcement Learning and LLM Alignment, covering RL fundamentals, Proximal Policy Optimization (PPO), and Direct Preference Optimization (DPO).
• Cover Efficient LLM Inference, including KV caching, memory optimization, and inference acceleration techniques.
• Mentor students through research-oriented projects, practical implementations, and real-world ML applications, preparing them for careers in AI research and ML engineering.

ML Engineer / Instructor · Deerwalk Training Center, Nepal

Worked as an ML Engineer and instructor, training 500+ students from diverse backgrounds, including beginners and professionals from different companies. Led multiple AI/ML projects, contributing to model development, pipeline design, and implementation. Delivered hands-on sessions on Python, machine learning workflows, and model evaluation, focusing on practical, project-based learning.

ML Lead · Pasale (Startup)

Led data pipeline development, analytics, and predictive modeling for inventory and sales forecasting. Built end-to-end data infrastructure and demand forecasting models. Collaborated with the engineering team to integrate ML-driven insights into the product. Proud to have led a startup summitwinning idea, contributing from development to execution and real-world impact.

Bachelor of Computer Engineering · Nepal Engineering College

Major subjects included Calculus I & II, Algebra, C Programming, Java, Data Structures & Algorithms, Machine Learning, Artificial Intelligence, Data Mining, and Computer Architecture.