Available for ML Engineering & Data Science Roles

Rabilal
Kharel

AI Graduate Student & Machine Learning Engineer

Building intelligent systems at the intersection of deep learning, natural language processing, and human-computer interaction. Currently pursuing M.S. in Artificial Intelligence at University of the Cumberlands.

View My Work → Get In Touch ⬇ Download Resume
M.S.
Artificial Intelligence
5+
AI Projects Built
3+
Years in Tech
About Me
Rabilal Kharel
🧑‍💻 Add photo.jpg
🧠

Turning data into
intelligent decisions

I'm Rabilal (Rob) Kharel, an AI graduate student passionate about building systems that think, learn, and communicate like humans. I hold a B.S. in Computer Systems Technology from NYC College of Technology (2024) and an A.A.S. in Network Administration & Information Security from LaGuardia Community College (2021) — both earned in New York City.

Currently enrolled in MSAI-631: AI for Human-Computer Interaction at University of the Cumberlands, I specialize in neural networks, NLP, and deep learning — applying them through hands-on projects and real-world research.

I've built everything from LSTM language models trained on classic literature to full-stack chatbot applications. My goal is to join a team where I can apply ML engineering to solve meaningful problems at scale.

🎓
University of the Cumberlands
M.S. Artificial Intelligence  ·  In Progress  ·  Williamsburg, KY
🎓
New York City College of Technology
B.S. Computer Systems Technology (BTECH)  ·  2024  ·  NYC, NY  ·  GPA 3.5
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LaGuardia Community College
A.A.S. Network Administration & Information Security  ·  2021  ·  NYC, NY  ·  GPA 3.7
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Software Developer Intern
Endpointech LLC  ·  Sep 2024 – Sep 2025
Skills

My Technical Stack

From deep learning frameworks to cloud platforms — here's what I work with.

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Machine Learning & Deep Learning
TensorFlow Keras PyTorch LSTM CNN scikit-learn Neural Networks
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Natural Language Processing
Azure AI Language Seq2Seq GNMT Sentiment Analysis Text Mining Tokenization
⚙️
Programming & Development
Python Java Spring Boot Flask HTML/CSS/JS Tkinter
☁️
Cloud & Tools
Microsoft Azure Google Colab GitHub Anaconda VS Code PyInstaller
Projects

What I've Built

A selection of AI and software projects from coursework and personal exploration.

00 / FEATURED
🔥 Live & Deployed
AI Resume Analyzer

A fully deployed AI web application that analyzes resume-job fit using NLP and Machine Learning. Upload your resume PDF, paste a job description, and instantly get your ATS score, keyword match analysis, skill gap breakdown by category, and personalized improvement tips. Built and deployed end-to-end.

Python NLP Streamlit Scikit-Learn TF-IDF PyPDF2 Matplotlib ATS Analysis
🌐 Live Demo → GitHub →
01 / CHATBOT
Personal Project
RobbieBot — AI Chatbot Application

A conversational AI chatbot built from scratch — evolving from a Python terminal script to a full GUI desktop app with voice output, scrollable chat history, user profiles, and a Flask web interface. Packaged as a Windows .exe using PyInstaller.

Python Flask Tkinter pyttsx3 PyInstaller
GitHub →
02 / NLP
MSAI-631 Course Project
Azure AI Language Service Integration

Integrated Microsoft Azure AI Language services into a chatbot pipeline — connecting a cloud NLP endpoint to analyze user intent, sentiment, and key phrases in real-time. Configured and deployed on Azure Free Tier with a custom language resource.

Azure AI Python REST API NLP
GitHub →
03 / DEEP LEARNING
MSAI-531 Course Project
LSTM Language Model — Alice in Wonderland

Trained a character-level LSTM language model on Alice in Wonderland text using TensorFlow/Keras on Google Colab with T4 GPU acceleration. The model learns writing style, sentence structure, and generates new text in the style of Lewis Carroll.

TensorFlow Keras Google Colab LSTM GPU Training
GitHub →
04 / RESEARCH
MSAI-532 Research
Seq2Seq & GNMT Architecture Analysis

Critical review and deep analysis of seminal NLP papers — Sutskever et al. (2014) sequence-to-sequence models and Wu et al. (2016) Google Neural Machine Translation system. Analyzed attention mechanisms, encoder-decoder architectures, and translation quality improvements.

NLP Research Seq2Seq Attention GNMT ML Theory
GitHub →
Contact

Let's Build Something

Open to ML engineering roles, data science positions, and interesting collaborations.

⚠️ To activate: replace YOUR_FORMSPREE_ID in the code with your free Formspree endpoint

I'm actively seeking roles in machine learning engineering and data science. Whether you have a position, project, or just want to connect — reach out.

🐙
GitHub
github.com/robkharel
✉️
Email
r.k.52kharel@gmail.com
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LinkedIn
linkedin.com/in/rabilal-kharel
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Phone
(929) 548-1960
Credentials

Certifications

Professional certifications and currently pursuing credentials.

🏢
IBM Full Stack Software Developer
IBM · Coursera  ·  ✅ March 2025
IBMFull StackDevelopment
📡
Kafka Fundamentals
LearnKartS · Coursera  ·  ✅ February 2025
KafkaData StreamingBackend
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AI For Everyone
DeepLearning.AI · Coursera  ·  ✅ August 2024
DeepLearning.AIAI StrategyML
☕
Introduction to Java
LearnQuest · Coursera  ·  ✅ August 2024
JavaOOPProgramming
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Contemporary Operating Systems & Hardware
Illinois Tech · Coursera  ·  ✅ August 2024
OSHardwareSystems
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Information Risk Management
TEEX · Texas A&M  ·  ✅ March 2024
Risk MgmtSecurity13 hrs
🛡️
Information Security Basics
TEEX · Texas A&M  ·  ✅ September 2022
InfoSecCybersecurity13 hrs
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Network Assurance
TEEX · Texas A&M  ·  ✅ July 2022
NetworkingAssurance5 hrs
☁️
Microsoft Azure AI Fundamentals
Microsoft  ·  ⏳ In Progress
AzureCloud AIAZ-900
Currently Learning
🔥 LangChain 🤗 HuggingFace 🔍 RAG Systems ☁️ Azure OpenAI 🧠 Prompt Engineering 📊 Vector Databases
Blog

AI Thoughts & Learnings

Sharing what I learn as I build and study in the AI field.

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CHATBOT DEV
What I Learned Building RobbieBot from Scratch

From a simple Python terminal script to a full GUI desktop app with voice output — here's every lesson I learned building my first AI chatbot.

5 min read  ·  AI Development
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DEEP LEARNING
How LSTM Models Work — Simply Explained

I trained an LSTM on Alice in Wonderland — and in doing so finally understood how memory works in neural networks. Here's my breakdown.

4 min read  ·  Neural Networks
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AI + HCI
Why AI and Human-Computer Interaction Are Inseparable

The most powerful AI is useless if humans can't interact with it effectively. Here's what I've learned studying AI for HCI at UC.

6 min read  ·  AI Research
Testimonials

What Others Say

Feedback from professors and colleagues.

"

Rabilal demonstrates a strong grasp of AI concepts and consistently produces thoughtful, well-researched work. His dedication to applying theory to real-world projects is impressive.

👨‍🏫
Dr. Alan L. Dennis
MSAI-631 Instructor  ·  University of the Cumberlands
"

Rob shows exceptional curiosity and technical ability in deep learning. His LSTM project and NLP research reflect a student who goes beyond the assignment to truly understand the material.

👨‍🏫
Dr. Danny Barnes
MSAI-531 Instructor  ·  University of the Cumberlands

* Testimonials are representative of professor feedback received during coursework.