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).
Technical Skills
My Projects
🔍 IPCheck – Suspicious IP Tracker on World Map
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
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
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
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.
⚡ 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.
GitHubCertifications
J.P. Morgan - Software Engineering Simulation
Training & Experience
Information Technology Trainee — Max Healthcare
Dec 2025 – Present- Engineered an end-to-end Cyber Defense Reporting Dashboard consolidating data from 5+ security tools, replacing manual PowerPoint reports with a single unified view for management.
- Designed and implemented a MySQL database with raw ingestion tables and KPI tables to structure and store operational security data.
- Built Python scripts to automate KPI computation — including Total Alerts, Alerts by Severity/Type, Total Threats Detected, Quarantined Items, and Threats by Security Filter.
- Performed data wrangling and preprocessing on Excel-based datasets to ensure clean, consistent input for the reporting pipeline.
- Supported GRC and data privacy initiatives aligned with the Digital Personal Data Protection (DPDP) Act, 2023.
Data Science Trainee — Shape MySkills
July – August 2024Worked on ML classification tasks, logistic regression, deployed a diabetes prediction app using Streamlit.