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Bibek P. — Junior Machine Learning Engineer from Nepal

Bibek P.

Junior Machine Learning Engineer

Nepal 1-2 years
Open to offersNew to Platform
Languages
NepaliEnglishHindi
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About

Bibek P. is an ambitious aspiring Data Scientist and AI/ML Engineer based in Kathmandu, Nepal, with strong expertise in machine learning, data analysis, and full-stack web development. He has developed real-world AI-integrated systems, including a Smart Ticketing platform that employs machine learning for predictive pricing, and MobileBazar, a platform utilizing ML regression models to predict smartphone prices. His technical proficiency includes Python, ML model development and deployment with Flask, and the MERN stack. Bibek has a background in Electronics and Information Engineering from the Institute of Engineering, Tribhuvan University, and seeks to leverage his studied modules such as Machine Learning, Statistics, and Software Engineering in practical settings. He holds certifications in Generative AI and Large Language Models as well as MERN Stack Development Training. His projects demonstrate his capabilities in implementing advanced technical solutions and integrating AI for various applications.

Experience

  • Intern

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    Developed a MERN-based ticket booking and crowd management system, implementing JWT authentication along with role-based dashboards. Integrated a machine learning model for optimizing ticket prices based on demand patterns and built a QR code system for real-time ticket validation. Technologies utilized include React, Node.js, MongoDB, and Python.

  • Developer

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    Created a full-stack marketplace platform for the buying and selling of used smartphones. Developed a machine learning regression model to predict prices based on various features such as RAM and storage. Integrated a Flask API for deploying the machine learning model. Technologies included Python, Flask, Scikit-learn, and the MERN stack.

  • Researcher

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    Generated realistic images of endangered animals using Stable Diffusion from Hugging Face. Designed a prompt-based AI image generation pipeline for experimentation. The primary technology used was Python along with Diffusers and Hugging Face.

Skills & Expertise

AI and Data ScienceAI EngineerData ScientistMachine Learning EngineerWeb Development

Education

  • Bachelor in Electronics and Information Engineering
    Institute of Engineering (IOE), Tribhuvan University · 2022 — Present