Who I Am
About Me
AI Research Engineer building intelligent systems that bridge research and real-world impact
About Me
Crafting Intelligent Solutions
I am an AI Research Engineer passionate about developing intelligent systems that bridge the gap between research and real-world impact.
My expertise spans multimodal AI, document intelligence, and vision-language models. Currently at Vision CoreInfinity, I build production-ready ML systems that solve complex challenges.
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Multimodal AI
Document Intelligence
ML Pipelines
Deep Learning
B.Sc. Computer Science & IT
Tribhuvan University • 2019 - 2024
DBMSStatisticsMathematicsNumerical MethodsOSDSAAlgorithmsAI/ML
AI Research Engineer
Vision CoreInfinity • Remote, Australia
FAQ
Common Questions
Deepa Khanal specializes in AI development with focus on Natural Language Processing (NLP), Computer Vision, Large Language Models (LLMs), and Document Intelligence. Key areas include building RAG systems, developing CNN-based recognition systems, and implementing production-ready ML solutions.
Primary technologies include Python, PyTorch, TensorFlow, Hugging Face Transformers, LangChain, and various cloud ML platforms. Additional expertise in scikit-learn, OpenCV, and modern deep learning architectures.
Notable projects include an ASL Recognition System achieving 92.6% accuracy, an Educational AI Assistant with RAG implementation, multimodal content generation systems, and transfer learning classifiers. All projects emphasize practical applications with documented metrics.