CV
Bimarsha Khanal
Summary
Machine Learning Engineer at Fusemachines, Kathmandu. Working on Multimodal LLMs, AI Agents, and Trustworthy AI.
Education
- Bachelors in Computer Engineering2024Tribhuvan University, Institute of Engineering, Western Region CampusCourses: Software Engineering, Operating Systems, DSA, AI, DBMS, Big Data Technologies, Distributed Systems
Work Experience
- Machine Learning Engineer2024-03-01 - PresentFusemachines, NepalBuilt and delivered AI-driven systems, including document intelligence pipelines for financial workflows and research on multi-modal LLM-powered interview agent.
- Built end-to-end document intelligence pipelines for financial workflows
- Research on multi-modal LLM-powered interview agent for assisting hiring managers
- Integrate ML solutions into production and communicate with technical and non-technical stakeholders
- Teaching Assistant2026-03-01 - PresentFusemachines AI FellowshipConducted sessions in a six-month AI fellowship program on deep learning fundamentals and real-world applications.
- Mentored fellows through project ideation, implementation, and evaluation
- Collaborated on session planning and enhancing curriculum and teaching materials
Skills
Machine Learning
- Deep Learning
- Transformers
- Preference Optimization
- RAG
- AI Agents
- Multimodal Learning
- SFT
- DPO
Frameworks
- PyTorch
- Hugging Face Transformers
- Scikit-learn
- OpenCV
- ONNX
Programming
- Python
- C++
- JavaScript
- Bash
- SQL
Systems & Infrastructure
- Linux
- Docker
- AWS
- HPC Environments
- Vector and Graph Databases
Publications
- Paddy Disease Detection and Classification Using Computer Vision Techniques2024arXiv:2412.05996Comparative study of object detection and classification for paddy disease identification using CNNs, Vision Transformers, and YOLO, plus a mobile app for real-time diagnosis.
Presentations
- Applied AI2026Fusemachines AI FellowshipKathmandu, NepalSession on deep learning fundamentals and real-world AI applications for students and working professionals
- Engineering AI Systems2026Fusemachines AI FellowshipKathmandu, NepalSession on engineering production AI systems, from model development to deployment and integration
Teaching
- Deep Learning Fundamentals and Applications2026Fusemachines AI FellowshipRole: Teaching AssistantSix-month AI fellowship program for students and working professionals
- Python and Machine Learning Mentorship2023Innovative Computer Engineering SocietyRole: Mentor (2023, 2024)Month-long Call for Enthusiast program guiding junior students in ML
Portfolio
- Document Extraction EnginePortfolioEnd-to-end AI pipelines for information extraction from KYC, financial, and rental documents
- Audio-LLM Research - Multimodal Interview System
- Conversational AI Chatbots
- YOLO Dataset Augmentation Tool
- Brain MRI Segmentation
- Old Photo Restoration with GANs
Interests
- Research InterestsMultimodal LLMs and AI Agents, Trustworthy AI, Privacy Preserving, and Secure AI Systems