class AIEngineer {
  constructor() {
    this.name = "Utsab Dahal";
    this.role = "AI/ML Engineer";
    this.passion = ["Computer Vision", "NLP", "Agentic AI"];
  }
}

Building Intelligent Systems
for Tomorrow

Electronics, Communication & Information Engineering @ IOE Pulchowk Campus
// Fusemachine AI Fellow 2025 | Open Source Contributor

Utsab Dahal

About Me

const aboutMe = { passion: "AI/ML", goal: "Innovation" };

[1] 🧠

I'm an AI/ML enthusiast passionate about developing intelligent systems that solve real-world problems. My journey in artificial intelligence combines strong theoretical foundations with hands-on experience in cutting-edge technologies.

Currently pursuing Electronics, Communication, and Information Engineering at IOE Pulchowk Campus, I specialize in Computer Vision, Natural Language Processing, and Edge AI systems. I'm deeply committed to advancing AI research while ensuring ethical and responsible implementation.

As a Fusemachine AI Fellow 2025 and Samsung Innovation Campus participant, I actively contribute to open-source projects including Microsoft RD Agent, Scikit-learn, and Keras.

15+
projects.length
10+
openSource.contributions

Technical Skills

let techStack = { frameworks: [], tools: [], languages: [] };

[2] 💻

languages = [ ]

Python C++ JavaScript C
[3] 🤖

mlFrameworks = [ ]

TensorFlow PyTorch Scikit-learn Keras
[4] 🧬

deepLearning = [ ]

Neural Networks RNN LSTM LLM NLP RAG Transformer Agentic AI
[5] 🛠️

tools = [ ]

NumPy Pandas OpenCV LangChain LangGraph Matplotlib

Featured Projects

const projects = await fetchLatestWork();

[6] 🏥

Medical RAG Chatbot

Developed a Retrieval-Augmented Generation chatbot for medical question answering. Integrated LangChain with Groq API for accurate, context-aware responses using ChromaDB for semantic document retrieval from medical datasets.

LangChain Groq API ChromaDB Python
view_source() →
[7] 🚀

CodePilot

Built an AI-powered coding assistant capable of generating, editing, and debugging code via natural language prompts. Features multi-agent workflows for automated code analysis and improvement with high-speed generation.

LangChain Groq API Python Multi-Agent
view_source() →
[8] 🖼️

Image Captioning Model

Deep learning model for generating natural language captions for images. Implemented hybrid CNN-LSTM architecture using DenseNet for feature extraction and LSTM for sequence generation.

TensorFlow Keras DenseNet LSTM
view_source() →

Experience & Achievements

const timeline = career.sort((a, b) => b.year - a.year);

[9] 🏆

Fusemachine AI Fellow

2025

Selected for the prestigious Fusemachine AI Fellowship program, focusing on advanced AI/ML research and development with industry experts. Working on cutting-edge projects in computer vision and natural language processing.

[10] 📱

Samsung Innovation Campus

2025

Participant in Samsung Innovation Campus, gaining hands-on experience in AI, IoT, and cutting-edge technology innovation. Collaborated on real-world projects and learned industry best practices.

[11] 🥈

1st Runner Up - SXC SandBox 2.0

2024

Secured 1st Runner Up position in SXC SandBox 2.0 hackathon, showcasing innovative AI solutions and technical expertise in a competitive environment with teams nationwide.

[12] 🎯

1st Runner Up - Nepal Techno Fest

2025

Achieved 1st Runner Up at Nepal Techno Fest 2025, demonstrating excellence in technology innovation and project development among top engineering students.

[13] 🌟

Open Source Contributions

2024 - Present

Active contributor to major open-source projects including Microsoft RD Agent, Scikit-learn, and Keras. Participated in Hacktoberfest 2025 with multiple PRs improving documentation, performance, and bug fixes across AI repositories.

Get In Touch

async function connect() { await sendMessage(); }

📧

email

utsabdahal34@gmail.com

📍

location

Lalitpur, Nepal

🎓

education

IOE Pulchowk Campus

[14] 🔬

researchInterests = [ ]

→ Computer Vision
→ Natural Language Processing
→ Edge AI & Embedded Systems
→ Ethical AI & Responsible ML

I'm always open to collaboration opportunities, research projects, and discussions about AI/ML innovation. Let's build something amazing together!