Ujjwal Kumar
Karn
Electronics & Communication Engineer Building Intelligent Solutions
with AI, Machine Learning, and Modern Software Technologies
The Human Behind the Code
I'm a recent graduate in Electronics and Communication Engineering with a strong passion for Artificial Intelligence, Machine Learning, Large Language Models (LLMs), and Software Development.
Throughout my journey, I've worked on diverse projects spanning AI-powered applications, Retrieval-Augmented Generation (RAG) systems, document intelligence, automation tools, and modern web development.
My research experience includes developing machine learning models for real-world applications, including agricultural intelligence systems. One of my research contributions was recognized with a Best Paper Award, reflecting my commitment to combining research excellence with practical impact.
My goal is to contribute to innovative projects that create meaningful value and solve real-world problems through technology.
Skills & Expertise
Full Stack
Featured Work
AI-powered products built with a focus on real-world impact and production quality.
Edge-AI Pigeon Pea Disease Detection
Edge-AI based crop disease diagnosis system integrating deep learning with a mobile application for automated pigeon pea disease classification. Published IEEE-recognized paper and received Best Paper Award.
Alex Voice RAG Assistant
Voice-enabled RAG assistant integrating Groq LLM, Google Gemini, Whisper, and ChromaDB for intelligent document question answering with Speech-to-Text and Text-to-Speech.
LLM Document Analyzer
AI-powered document intelligence platform for PDF analysis, contextual question answering, semantic search, and automatic summarization using Large Language Models and Groq API.
Tomato Disease Detection YOLOv8
Deep learning object detection model for automated tomato leaf disease identification using YOLOv8. Optimized for ONNX deployment enabling efficient cross-platform real-time inference.
Student Performance Prediction
Machine learning model predicting student academic performance using linear regression. Covers full ML pipeline including data preprocessing, feature engineering, model training and evaluation.
Salary Prediction ML
End-to-end machine learning project covering data preprocessing, feature engineering, and salary prediction. Demonstrates full ML workflow from raw data cleaning to model deployment-ready output.
Want to see more?
View All on GitHubExperience & Timeline
B.E. Electronics & Communication Engineering
Nepal Engineering College
Solid foundation in signal processing, embedded systems, and communication engineering. Applied engineering principles to build AI-powered applications and research projects.
AI/ML Developer (Projects)
Independent
Built production-grade RAG systems, LLM applications, and Voice AI assistants using Python, FastAPI, LangChain, and OpenAI APIs. Developed full-stack AI apps deployed on cloud infrastructure.
Secretary
CTRC — Nepal Engineering College
Led Computer Technology & Robotronix Club as Secretary. Coordinated technical workshops, innovation programs, and student-led projects promoting collaborative learning.
Research: AI Crop Disease Detection
IEEE Publication
Developed and published an IEEE-recognized research paper on AI-based crop disease classification using deep learning optimized for edge devices. Best Paper recognition.
Certifications & Upskilling
Cisco · Online Platforms
Earned certifications in Cisco Networking Essentials, Embedded Systems & IoT, PLC Training, UI/UX Fundamentals, and Generative AI & LLM Learning.
What People Say
Ujjwal demonstrated exceptional research aptitude in developing our edge-AI crop disease detection system. His ability to bridge deep learning theory with practical edge deployment is remarkable for a student at his level.
As Secretary of CTRC, Ujjwal organized some of our most impactful technical workshops. His leadership style combines technical depth with genuine enthusiasm for mentoring fellow students.
Working alongside Ujjwal on AI projects, I was impressed by his end-to-end ownership — from designing RAG pipelines to shipping production APIs. He thinks like a product engineer, not just a coder.
Let's Build Together
Open to AI/ML roles, research collaborations, and freelance projects. Let's talk.