Open to opportunities

Supriya Bhujel

@supriyabhujel

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AI Engineer passionate about machine learning and natural language processing.

Nepal

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What I'm looking for

I seek a dynamic role in AI where I can innovate and grow, contributing to impactful projects while collaborating with a talented team.

I am an AI Engineer with a strong foundation in machine learning and natural language processing, currently working at Jyoti Bikash Bank Limited. My experience includes developing an ML-driven fraud detection system and deploying advanced chatbot solutions that enhance operational efficiency. I thrive on tackling complex challenges and delivering innovative solutions that drive business success.

My academic background in Computer Science and Information Technology, combined with hands-on experience in AI projects, has equipped me with a diverse skill set. I have successfully led initiatives such as an AI-enabled job portal and a Nepali news classification system, showcasing my ability to apply cutting-edge technologies to real-world problems. I am committed to continuous learning and mentoring others in the field of AI.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Jyoti Bikash Bank Limited

Aug 2024 - Present (11 months)

Built an ML-driven fraud detection system trained on historical transaction data, surfacing 15+ high-risk behavioral patterns. Developed and deployed a Retrieval-Augmented Generation-based chatbot system using Meta’s Llama-8B model and Alibaba-gte-large-en-v1.5, allowing seamless access to company policy documents for employees.

Machine Learning Fraud Detection LangGraph Scrapy Selenium Data Analysis

AI Intern

Moses Pvt. Ltd

May 2024 - Jul 2024 (2 months)

Designed and developed an AI-enabled job portal that assists HR in shortlisting candidates by matching resumes with job descriptions. Created an LLM-powered chatbot with NLP and RAG techniques, enabling applicants to query their application status.

AI Natural Language Processing RAG LLM Chatbot Development

Education

Degrees, certifications, and relevant coursework

Tribhuvan University, Institute of Science and Technology, Prime College

Bachelor’s of Science in Computer Science and Information Technology (Bsc CSIT), Computer Science and Information Technology

Grade: 78.72%

Graduated in July 2024 with an aggregate percentage of 78.72%. This program provided a comprehensive understanding of computer science and information technology principles.