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Dinesh Nepal
he/him/himself

Frontend Developer | Machine Learning Enthusiast

Lalitpur, Kathmandu

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About

An undergraduate Computer Engineering student with keen interest in Information Technology with strong leadership and exceptional communication skill, believes in consistency and teamwork.

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Experience

Software Developer

Kathhmandu, Nepal

Jan 2025 - Present
  • Worked as Frontend Developer for the official website of Digital Forenics based company, Cyber Alert Nepal which was made upon Astro(Javascript Framework)
Software DeveloperFront EndDigital Forensics

President

Purwanchal Campus, Dharan

Jan 2024 - Ongoing
  • Coordinated HTML, CSS, JavaScript, Node.js, and C programming training sessions, providing students with hands-on experience in core technologies.
  • Organized Cybersecurity, Blockchain, AWS Cloud webinars and CV workshop bringing industry experts to share insights and trends in emerging technologies.
  • Organized ACESTechfest 7.0, a state-level technical fest featuring competitions like Hackathon, AR Bug Hunt, CTF, UI/UX, Datathon, Google Maestro, and GameFest, along with the first-ever Internship Fest connecting students to software companies from Eastern Nepal, fostering career opportunities and skill development.
LeadershipCommitteeStudents' SocietyEvent Management
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Academics

Bachelor of Computer Engineering

IOE Purwanchal Campus, Dharan

2021-Ongoing
Computer ScienceEngineeringinformation Technology

Science, High School

Satdobato, Lalitpur

2018-2020
ScienceHigh SchoolBasic Education
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Projects

Resume Parser (2024)

2023
  • Developed a robust Resume Parser leveraging spaCy and LangChain for Named Entity Recognition (NER).
  • Extracts key information such as names, contact details, skills, experience, and education from resumes with high accuracy.
DjangoHTML, CSSNLPNER

Legal Chatbot for Gender-Based Violence Assistance (2024)

2024
  • Designed and implemented an AI-powered chatbot to provide legal information and support based on gender-based violence.
  • Utilized the Mistral 7B model with Retrieval-Augmented Generation (RAG) for accurate and context-aware responses.
DjangoHTML, CSSRAGLLM
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Resume

Resume

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