Sujan Dora

About Sujan Dora

I am an AI/ML engineer with 4+ years of experience building production-ready AI systems, including LLM-RAG-based document QA, anomaly detection, and ID authentication pipelines. I design secure, scalable solutions that improve accuracy, reduce verification overhead, and optimize ML inference. I am pursuing an M.S. in Computer Science (Data Science) at Missouri State University (Dec 2025):• Built a self-correcting RAG system with LangChain and Mistral 7B, improving document QA reliability by 20%.• Designed MFA anomaly detection pipelines, reducing redundant verifications by 25% and optimizing face verification speed by 40%.• Developed a National ID authentication system using YOLO, MiDaS, and GAN-based synthetic data, achieving robust hologram detection.• Built end-to-end MLOps pipelines with ZenML, MLflow, Docker, AWS Lambda, and GitHub Actions for scalable, automated ML deployment.• Developed multi-agent LLM workflows for biomedical QA and mental health support, integrating LangGraph, REAct agents, and interactive frontends.• Published research on bias detection in machine learning at | PyTorch | TensorFlow | Hugging Face | LangChain | LlamaIndex | RAG Systems | MLOps & CI/CD | Docker | AWS | Computer Vision | NLP | Anomaly Detection | FastAPI | Databases (PostgreSQL, MySQL, Milvus, Weaviate, FAISS, MongoDB): AI/ML Engineer or Data Scientist roles: https://sai-sujan.github.io/My-portfolio/: https://github.com/sai-sujan

Experience

1. Generative Ai Engineer

   UnitedHealth Group

   Aug 2024 — Present

Education

• KSN junior college

  Intermediate, Mathematics, Physics and Chemistry

• KKR's Gowtham

  10th

• Missouri State University

  Master's degree, Computer Science

• Kalasalingam University

  Bachelor of Technology - BTech, Computer Science