Open to opportunities

Dipesh Baral

@dipeshbaral

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Aspiring Machine Learning and Prompt Engineer eager to innovate.

Nepal

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What I'm looking for

I am looking for opportunities to work on innovative projects in a collaborative environment that fosters growth and learning.

I am an aspiring Machine Learning and Prompt Engineer, currently honing my skills in Python, machine learning fundamentals, and large language model workflows. My goal is to apply my knowledge in a real-world setting, contributing to innovative projects while collaborating with experienced teams.

During my academic journey at Thapathali Campus, I designed and implemented a fall detection system using LSTM neural networks, achieving an impressive 95% accuracy in detecting fall vs. non-fall events. This project not only enhanced my technical skills in deep learning and sequence modeling but also provided me with valuable hands-on experience in performance evaluation.

Additionally, I developed an AI voice assistant tailored for Nepali customer support, utilizing advanced technologies such as fine-tuned mBERT and mT5, alongside Eleven Labs for speech-to-text and text-to-speech functionalities. My participation in the Aqore Hackathon, where I was awarded for the Most Creative Idea, reflects my commitment to innovation and effective problem-solving.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Intern

Current

Thapathali Campus

Aug 2021 - Present (4 years)

Designed and implemented a fall detection system using LSTM to classify motion sequences from wearable sensor data. Preprocessed time-series data and trained an LSTM model using TensorFlow/Keras for real-time activity classification.

TensorFlow Keras Deep Learning Sequence Modeling data preprocessing

Current

AI Voice Assistant Developer

Current

Thapathali Campus

Aug 2021 - Present (4 years)

Developed an AI Voice Assistant for Nepali customer support using RAG, fine-tuning mbert and mT5. Utilized Eleven Labs for STT/TTS and ChromaDB for the vector database.

RAG Mbert ChromaDB Python Natural Language Processing

Education

Degrees, certifications, and relevant coursework

Thapathali Campus, Institute of Engineering

Bachelor of Engineering, Electronics, Communication and Information

2021 -

Activities and societies: Designed and implemented a fall detection system using LSTM neural networks as a minor project. Developed an AI Voice Assistant for Nepali Customer Support using RAG as a major project.

Currently pursuing a Bachelor of Engineering in Electronics, Communication, and Information. Gaining foundational knowledge in various engineering disciplines.