Hi, I’m Gurleen Kaur Bali 👋

A tech enthusiast who loves blending Artificial Intelligence, Generative AI, and Full Stack Development to bring ideas to life, certified as an OCI Generative AI Professional (Oracle).

📧 Email 🔗 LinkedIn 💻 GitHub

Technical Skills

Python Machine Learning NLP AI LangChain Transformers Software Engineering Tableau Power BI Excel Hugging Face LLMs Prompt Engineering OCI Generative AI Service RAG (Retrieval-Augmented Generation) LangChain + Oracle DB 23ai

My Projects

🔍 IPCheck – Suspicious IP Tracker on World Map

IPCheck Demo

Description:

  • ⚡Built a FastAPI backend powered by a trained Random Forest ML model to predict IP risk levels.
  • 🌍Designed a React frontend for CSV uploads, AI result visualization, and an interactive world map of flagged IPs.
  • 🚀Deployed the backend on Render and frontend on Vercel with secure CORS handling & environment variable setup.

🤖 Personal Chatbot

IPCheck Demo

Description:

  • ⚡Developed with SentenceTransformer (all-MiniLM-L6-v2) embeddings + FAISS similarity search.
  • 📈Curated a JSON dataset of custom Q&A prompt–response pairs.
  • 🔍Integrated an interactive Streamlit chat interface.

📊 Interactive Dashboard

🌐 Dashboard Dashboard demo

Description:

  • ⚡ Connected, cleaned, and standardized sales data.
  • 📈 Revenue analysis and trend visualizations (by market, customer, product).
  • 🔍 User-friendly dashboard for data-driven decisions.

💬 Sentiment Analysis

Sentiment app demo

Description:

  • 🧠 Developed a NLP-based Sentiment Analysis model using Python
  • 📊 Used Hugging Face dataset, strong data preprocessing, and LSTM deep-learning model.
  • 🌐 Processed datasets with Pandas & applied text preprocessing.

🌟 Professional Credential

OCI Generative AI Professional

Issued by Oracle

Credential demonstrating expertise in building and deploying Generative AI solutions on Oracle Cloud Infrastructure.

Along this journey, I deepened my understanding of:

  • Large Language Models (LLMs): Fundamentals, architectures, prompt design, fine-tuning, code models, multi-modal models, and language agents.
  • OCI Generative AI Service: Using pretrained foundational models (Chat & Embedding), creating dedicated AI clusters, fine-tuning with custom datasets, deploying endpoints, and exploring the security architecture.
  • Retrieval-Augmented Generation (RAG): LangChain + Oracle Database 23ai integration, chunking & embedding documents, storing & indexing embeddings, similarity search, and response generation pipelines.
  • OCI Generative AI RAG Agents: Creating knowledge bases, deploying RAG agents, and invoking them as chatbots.
🎓 View Credential
OCI GenAI Professional

⚡ Other Projects

🩺 Diabetes Prediction

Machine learning model that predicts the likelihood of diabetes based on medical input features.

💬 Article Summarizer model

This project implements an abstractive text summarization system using a Sequence-to-Sequence (Seq2Seq) model with LSTM-based encoder-decoder architecture.

GitHub

🖼️ Image Classification

Deep learning project that classifies images into categories using a CNN architecture.

GitHub

Certifications

Career Essentials in Generative AI

Issued by: Microsoft & LinkedIn
Generative AI, ML, Copilot
View

British Airways - Data Science Simulation

Issued by: Forage
Data Science, Customer Feedback
View

J.P. Morgan - Software Engineering Simulation

Issued by: Forage
Software Engineering, Real-World
View

Generative AI Introduction & Apps

Issued by: IBM
GenAI, Use Cases
View

Python for Machine Learning

Issued by: Great Learning
Python, ML Algorithms
View

Intro to AWS Cloud Careers

Issued by: AWS
Cloud Fundaments, Careers
View

Training & Experience

Data Science Trainee — Shape MySkills

July – August 2024

Worked on ML classification tasks, logistic regression, deployed a diabetes prediction app using Streamlit.

Looking forward to new challenges and opportunities in AI, Machine Learning, and Data Science.