Open to opportunities

Dipan Bartaula

@dipanbartaula

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Driven AI engineer skilled in deep learning and innovative solutions.

Nepal

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What I'm looking for

I am looking for opportunities that foster innovation and allow me to apply my AI skills in real-world projects.

I am a passionate AI engineer with a solid background in computer engineering, currently pursuing my undergraduate studies at IOE Pulchowk Campus. My expertise lies in designing and implementing innovative solutions using advanced deep learning and AI techniques. I have co-developed a Flutter mobile app that integrates Gemini AI to execute everyday tasks through natural-language commands, showcasing my ability to work collaboratively in a team environment.

Throughout my academic journey, I have built an AI-driven video preprocessing pipeline that utilizes WhisperX for automatic speech recognition, dynamically adjusting playback speed to enhance comprehension for students. Additionally, I developed an end-to-end AI lip-sync content-creation tool, demonstrating my proficiency in various AI technologies and programming languages. My projects reflect my commitment to leveraging AI for practical applications that save time and improve user experiences.

Experience

Work history, roles, and key accomplishments

AI Mobile App Developer

Personal Project

Co-developed a Flutter mobile application with Gemini AI integration for natural-language task execution. This project was part of a departmental mobile-reuse initiative, demonstrating early adoption of agent-based architectures.

Flutter Gemini Mobile Development Natural Language Processing Android Development Dart

AI Content Creation Developer

Personal Project

Developed an end-to-end AI lip-sync content-creation tool, integrating Gemini for script generation and XTTS for voice cloning. The tool uses a fine-tuned Diff2Lip diffusion model for audio-to-video synchronization and gesture generation, with a public API endpoint via ngrok.

Gemini XTTS Diff2Lip Diffusion Models AI Content Creation API Development Python Deep Learning

Virtual Try-On System Developer

Personal Project

Constructed a virtual try-on system for a campus minor project, utilizing open-source Stable Diffusion inpainting. This involved training on Dresscode and VITON-HD datasets, gaining practical experience in diffusion model training on L40S GPU.

Stable Diffusion Inpainting Diffusion Models Deep Learning Python Image Processing PyTorch

AI Video Processing Engineer

Personal Project

Designed and implemented an AI-driven video preprocessing pipeline utilizing WhisperX for word-level timecodes and an LLM for conceptual toughness rating. This system dynamically adjusts video playback speed to optimize viewing time and comprehension for students.

LLM Video Processing AI Machine Learning Python Natural Language Processing Deep Learning

Machine Learning Practitioner

Personal Study/Research

Gained extensive practical experience with classical machine learning algorithms including SVM, XGBoost, and Random Forests. Applied dimensionality reduction techniques such as PCA and t-SNE to various datasets.

SVM XGBoost Decision Trees Random Forest Polynomial Regression T SNE Data Analysis

Education

Degrees, certifications, and relevant coursework

IOE Pulchowk Campus

Bachelors in Computer Engineering, Computer Engineering

Currently pursuing undergraduate studies in Computer Engineering at IOE Pulchowk Campus. Expected to graduate in the near future, focusing on advanced deep learning and AI techniques.