🎓 Master's Student in AI, Machine Learning & Data Science at EPITA – School of Engineering and Computer Science, Paris, France
🤖 Machine Learning Engineer passionate about building production-ready intelligent systems
🧠 Research Interests: Deep Learning, NLP & LLMs, Computer Vision, Explainable AI (XAI)
🏥 Currently Building: AI-driven Healthcare Solutions, Medical Imaging Systems, NLP Applications
🌱 Currently Learning: Advanced Deep Learning, Large Language Models, OpenNMT & Neural Machine Translation
📊 Data Science: EDA, Feature Engineering, Statistical Modeling, End-to-End ML Pipelines
💡 Believer in making AI explainable, ethical, and impactful in healthcare and real-world domains
📫 Reach me at: issarrajendraprasad@gmail.com
🌐 Portfolio: rajendrapissar.github.io/Portfolio
👨💻 Programming Languages
🤖 AI / ML / Data Science
🌐 Web, Tools & Infrastructure
| Domain | Focus Areas |
|---|---|
| 🧠 Deep Learning | CNNs · RNNs · Transformers · GANs · Diffusion Models |
| 💬 NLP & LLMs | Text Classification · NER · Summarization · Fine-tuning LLMs |
| 👁️ Computer Vision | Object Detection · Segmentation · Medical Imaging |
| 🔍 Explainable AI | SHAP · LIME · Grad-CAM · Model Interpretability |
| 🏥 Healthcare AI | Diagnostic Systems · Clinical NLP · Medical Imaging Analysis |
| 📊 Data Science | EDA · Feature Engineering · Statistical Modeling · Visualization |
💡 "Transforming data into intelligent solutions through AI & Machine Learning."