I'm a Computer Science graduate focused on building intelligent, production-oriented AI systems that solve real-world problems.
My work spans Generative AI, Retrieval-Augmented Generation (RAG), Machine Learning, Deep Learning, Computer Vision, Explainable AI, and Predictive Analytics.
B.Sc. in Computer Science
🔭 I'm currently building production-ready AI, RAG, and Machine Learning applications.
🌱 I'm currently exploring AI Agents, advanced RAG architectures, LLM evaluation, and AI deployment.
👯 I'm looking to collaborate on Generative AI, RAG, Machine Learning, Computer Vision, and NLP projects.
💬 Ask me about RAG, Machine Learning, Computer Vision, TensorFlow, FastAPI, Qdrant, Ollama, and Explainable AI.
⚡ Fun fact: I believe the best way to learn AI is by building real projects.
🎯 Passionate about turning AI research and ideas into practical, usable systems.
A selection of projects demonstrating my experience in Generative AI, RAG, Machine Learning, Deep Learning, Computer Vision, Explainable AI, and AI application development.
🧠 ⭐ Research RAG
Production-oriented AI research assistant for grounded document analysis using Retrieval-Augmented Generation (RAG), hybrid retrieval, reranking, source citations, and multi-document research.
Supports document ingestion, semantic research, grounded question answering, multi-document analysis, project workspaces, document management, and locally hosted LLM generation.
FastAPI • React • TypeScript • Qdrant • Ollama • PostgreSQL • Docker
End-to-end Deep Learning system for automated pneumonia detection from chest X-ray images using EfficientNetV2B0 and Grad-CAM Explainable AI.
Includes single-image prediction, batch analysis, model evaluation, confidence scoring, PDF report generation, and an interactive analytics dashboard.
TensorFlow • Keras • EfficientNetV2B0 • Grad-CAM • Streamlit
End-to-end Machine Learning platform supporting automated data preprocessing, model training, model comparison, explainability, and prediction.
Designed to provide a reusable workflow for building and evaluating predictive Machine Learning models.
Scikit-Learn • XGBoost • CatBoost • SHAP • Streamlit
Customer churn prediction system combining Machine Learning with Explainable AI to identify customers at risk of leaving and explain the factors influencing predictions.
Includes SHAP-based model interpretation and interactive visualization.
XGBoost • SHAP • Scikit-Learn • Streamlit
Financial analytics and forecasting platform using time-series analysis and interactive visualizations to explore financial trends and generate data-driven forecasts.
ARIMA • Pandas • Plotly • Streamlit
I'm interested in opportunities and collaborations involving Artificial Intelligence, Machine Learning, Generative AI, RAG, Computer Vision, and intelligent software systems.
Feel free to connect with me on LinkedIn or explore my repositories.
⭐ Always learning. Always building. Always improving.