SP
Open to AI/ML Opportunities

Hi, I'm Silu Poudel

I'm an |

AI Engineer focused on Real-World ML Systems. Building intelligent solutions with Computer Vision, NLP, and Deep Learning. Based in Nepal 🇳🇵

AI Engineer
Computer Vision
NLP
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Get To Know Me

About Me

AI Engineer focused on Real-World ML Systems

I am an AI-focused software developer from Nepal with hands-on experience in machine learning, computer vision, and NLP systems.

I have built real-time emotion recognition models, sentiment analysis systems, and backend APIs that serve ML predictions. I enjoy working on practical ML problems and building backend systems that bring AI models into production environments.

My goal is to grow as an AI Engineer and contribute to impactful real-world ML applications.

Name Silu Poudel
Email sheelupoudel301@gmail.com
Location Nepal
Website silu.com.np
What I Know

My Skills

Machine Learning & AI

Supervised Learning Model Training & Evaluation Overfitting Handling Regularization Data Augmentation Feature Engineering Model Optimization

Computer Vision

CNN (Convolutional Neural Networks) FER2013 Dataset Handling OpenCV Real-time Emotion Detection Image Preprocessing

Natural Language Processing

Text Cleaning & Tokenization Sentiment Analysis TF-IDF / Vectorization Scikit-learn NLP Pipelines

Programming & Backend

Python FastAPI REST API Development API Integration Postman Testing

Data & Tools

Pandas NumPy Matplotlib MySQL / SQL Git & GitHub Linux / WSL

Frontend (Working Knowledge)

React JavaScript HTML / CSS
What I've Built

My Projects

Face Emotion Recognition System

Developed a real-time facial emotion recognition system using the FER2013 dataset (48x48 grayscale images). Built and trained a CNN model, implemented techniques to reduce overfitting, and deployed live webcam-based emotion detection with avatar mirroring.

Impact

  • Improved model generalization through regularization & augmentation
  • Real-time prediction pipeline with webcam integration
Python CNN OpenCV TensorFlow
Private Repo

Mental Health Chatbot System

Built an AI-powered mental health chatbot during AI Fellowship at Fuse Machine. The system uses NLP techniques to understand user emotions and provide supportive, context-aware responses. Implemented text preprocessing, sentiment detection, and conversational AI to create a safe and empathetic digital companion.

Impact

  • End-to-end NLP pipeline for emotion-aware conversations
  • Applied ML model evaluation and optimization techniques
Python NLP Scikit-learn Chatbot
Private Repo

FastAPI Document RAG System

Built a Retrieval-Augmented Generation (RAG) backend using FastAPI. The system processes documents, creates embeddings, and serves intelligent responses through a REST API — bringing ML models into production.

Impact

  • Production-ready API serving ML predictions
  • Document processing & intelligent retrieval
Python FastAPI RAG REST API
My Journey

Experience

AI Fellowship Intern

Fuse Machine
  • Worked on NLP-based mental health chatbot system
  • Collaborated in AI project development
  • Applied ML model evaluation techniques
  • Built end-to-end ML pipelines from data to deployment
NLP Machine Learning Python Scikit-learn
Let's Talk

Get In Touch

Let's work together!

Interested in AI/ML collaboration, research opportunities, or building intelligent systems? Feel free to reach out. I'm always open to discussing new projects and ideas.

Location

Nepal

Website

silu.com.np