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I'm a Machine Learning Engineer with deep expertise in Computer Vision, Large Language Models, and applied deep learning. I have over eight years of experience developing, optimizing, and deploying computer vision and edge AI systems in industry, complemented by active contributions to research and AI education. I enjoy bridging the gap between research and real-world impact. I am proficient in Python and PyTorch, and I have led end-to-end ML projects, from data preparation and fine-tuning to deployment and multilingual experimentation. I have spoken at conferences such as Embedded Vision Summit (Introduction to DNA Model Compression Techniques) and contributed to open-source projects and AI education initiatives.…I'm a Machine Learning Engineer with deep expertise in Computer Vision, Large Language Models, and applied deep learning. I have over eight years of experience developing, optimizing, and deploying computer vision and edge AI systems in industry, complemented by active contributions to research and AI education. I enjoy bridging the gap between research and real-world impact. I am proficient in Python and PyTorch, and I have led end-to-end ML projects, from data preparation and fine-tuning to deployment and multilingual experimentation. I have spoken at conferences such as Embedded Vision Summit (Introduction to DNA Model Compression Techniques) and contributed to open-source projects and AI education initiatives.

Sabina Pokhrel

AI Engineer, Data Scientist, Full Stack Developer, +1

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I'm a Machine Learning Engineer with deep expertise in Computer Vision, Large Language Models, and applied deep learning. I have over eight years of experience developing, optimizing, and deploying computer vision and edge AI systems in industry, complemented by active contributions to research and AI education. I enjoy bridging the gap between research and real-world impact. I am proficient in Python and PyTorch, and I have led end-to-end ML projects, from data preparation and fine-tuning to deployment and multilingual experimentation. I have spoken at conferences such as Embedded Vision Summit (Introduction to DNA Model Compression Techniques) and contributed to open-source projects and AI education initiatives.…I'm a Machine Learning Engineer with deep expertise in Computer Vision, Large Language Models, and applied deep learning. I have over eight years of experience developing, optimizing, and deploying computer vision and edge AI systems in industry, complemented by active contributions to research and AI education. I enjoy bridging the gap between research and real-world impact. I am proficient in Python and PyTorch, and I have led end-to-end ML projects, from data preparation and fine-tuning to deployment and multilingual experimentation. I have spoken at conferences such as Embedded Vision Summit (Introduction to DNA Model Compression Techniques) and contributed to open-source projects and AI education initiatives.

Available to hire

I’m a Machine Learning Engineer with deep expertise in Computer Vision, Large Language Models, and applied deep learning. I have over eight years of experience developing, optimizing, and deploying computer vision and edge AI systems in industry, complemented by active contributions to research and AI education.

I enjoy bridging the gap between research and real-world impact. I am proficient in Python and PyTorch, and I have led end-to-end ML projects, from data preparation and fine-tuning to deployment and multilingual experimentation. I have spoken at conferences such as Embedded Vision Summit (Introduction to DNA Model Compression Techniques) and contributed to open-source projects and AI education initiatives.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Nepali

Intermediate

Work Experience

Senior Machine Learning Engineer at Suchi Tech

April 1, 2024 - December 1, 2025

Conducted research on open-source and cloud-hosted Large Language Models, performing in-depth comparative analyses to identify optimal solutions for downstream tasks. Implemented AI assistant solutions using the LangChain framework with Retrieval-Augmented Generation (RAG) architecture. Integrated and optimized workflows using cloud-hosted LLM APIs to enhance model responsiveness and scalability. Worked with open-source LLMs such as LLaMA for experimentation and deployment in multilingual contexts. Prepared and cleaned datasets for fine-tuning LLMs, including non-English language corpora (e.g., Nepali), to support localization and multilingual capabilities. Led fine-tuning and training of LLaMA models for domain-specific and language-specific tasks. Explored techniques and challenges in working with multilingual LLMs, contributing to the development of inclusive and globally adaptable AI solutions. Selected for Meta’s APAC Accelerator Program 2024 finals among 12 finalists.

Lead AI Engineer at Xailient

October 1, 2019 - March 1, 2024

Authored one patent in distributed data analytics; conducted R&D on model compression and optimization for edge deployment of CNNs. Investigated and benchmarked deep learning-based computer vision models for edge deployment, achieving 30% faster inference with no accuracy loss. Experimented and benchmarked results for GAN-based synthetic data generation pipelines, improving vision model robustness. Integrated CLIP-based multimodal learning for automated dataset analysis and clustering, improving the efficiency of the data engineering process by 80%. Developed IoT-integrated real-time vision-powered AI systems for agriculture tech. Collaborated cross-functionally with engineers and researchers to align product goals with scientific methodologies. Worked with deep learning models/algorithms in computer vision and deep learning frameworks (PyTorch, TensorFlow, TensorFlow Lite). Invited speaker at Embedded Vision Summit 2021 – Introduction to DNA Model Compression Techniques.

AI Engineer at N Squared Solutions

January 1, 2017 - March 1, 2019

Prototype IoT-integrated real-time vision systems for face recognition. Evaluated deep learning models for latency, size, and scalability. Developed framework for real-time data collection for AI systems.

Vice President at Artificial Intelligence Association Nepal (AIAN)

September 1, 2024 - Present

Lead national AI literacy and ethics initiatives, promoting interdisciplinary and responsible AI adoption. Conduct training programs for academia, industry, and policy sectors on AI awareness and capability building.