AI/ML Engineer | Building Intelligent Systems That Actually Work
I focus on creating practical, high-impact AI solutions — from LLM-powered applications to medical imaging pipelines and computer vision systems. I enjoy breaking down complex problems, engineering clean solutions, and continuously pushing my technical boundaries.
🎯 Focus: Developing reliable, end-to-end AI systems using LLMs, RAG, and Computer Vision.
🌱 Currently Learning: Advanced LLM agents, multi-modal models, scalable cloud deployment.
🧠 Philosophy: Simplicity wins. If the solution is messy, it’s wrong.
🚀 Mission: Build AI tools that solve real problems, not theoretical ones.
- AI/ML, Deep Learning
- LLMs, RAG, LangChain
- Medical AI (DICOM pipelines, PACS integration)
- Computer Vision (YOLO, CNNs, image processing)
AI & ML
PyTorch • TensorFlow • Scikit-learn • HuggingFace
LLMs & RAG
OpenAI • Gemini • Together AI • LangChain • Pinecone • FAISS
Backend
FastAPI • Flask • Django • REST APIs
Medical Imaging
pydicom • MONAI • DICOM-to-PNG processing • Viewer integration
DevOps & Cloud
Docker • GitHub Actions • AWS (SageMaker, EC2, Lambda) • Linux
[Medical AI Chatbot] – LLM + RAG system using Pinecone and LangChain.
[HPV Detection Model] – ML pipeline for medical diagnosis.
[DICOM Processing & PACS Integration] – Automated workflow for medical imaging systems.
[Object Detection Pipeline] – YOLO-based detection system with custom training.
If you find my work useful, feel free to support me!