Open to opportunities

prasis poudel

@prasispoudel

Message

AI engineer and software developer building practical ML and NLP-driven systems.

Nepal

Message

What I'm looking for

I seek roles building scalable AI/NLP systems and backend services, with mentorship, hands-on ML deployment, and opportunities to integrate LLMs for real-world automation.

I am an AI engineer and software developer with strong expertise in Python, Java (Spring Boot), machine learning and NLP, backed by a Master’s in Software Engineering (CGPA 3.981/4.0) and First-Class Honours in Computing. My Master’s thesis developed a context-aware requirements prioritization system using RoBERTa-based NLP, XGBoost regression, Bayesian optimization, and a FastAPI–React stack, demonstrating strong alignment with expert validation across domains.

I have hands-on experience building RESTful APIs with Spring Boot, front-end work with AngularJS, and mobile apps in Android/Java. I am passionate about AI-driven workflow automation, LLM integration and prompt engineering using tools such as OpenAI APIs, Zapier, and n8n, and I seek to apply and expand my skills designing scalable, practical AI applications.

Experience

Work history, roles, and key accomplishments

Current

MSc Researcher

Current

Universiti Putra Malaysia

Mar 2024 - Present (2 years 3 months)

Designed and developed a RoBERTa-based, FastAPI–ReactJS context-aware requirements prioritization system using XGBoost regression and Bayesian optimization, achieving strong alignment with expert rankings across domains.

RoBERTa XGBoost fastAPI ReactJS Bayesian Optimization Python NLP Model Evaluation

Java Intern

UTech IT Professionals Pvt. Ltd.

Dec 2020 - Apr 2021 (4 months)

Developed RESTful backend APIs using Spring Boot and contributed to AngularJS front-end development within an Agile team, improving API delivery and integration across services.

Java Spring Boot RESTful APIs AngularJS MVC Agile Git SQL

Education

Degrees, certifications, and relevant coursework

Universiti Putra Malaysia

Master of Software Engineering, Software Engineering

2024 -

Grade: 3.981/4.0

Master of Software Engineering program with a final CGPA of 3.981/4.0; thesis on context-aware requirement prioritization using RoBERTa, XGBoost, and FastAPI–ReactJS stack.