Gaurav Sahu

About Gaurav Sahu

I architect and deploy end-to-end AI systems — spanning GenAI, Computer Vision, and MLOps — with a focus on production reliability and measurable business outcomes.With. across software engineering and data science, I have contributed to real-time inference systems, large language model pipelines, and scalable MLOps infrastructure. In my current role at Diebold Nixdorf, I develop GenAI applications that address complex operational challenges and deliver quantifiable results: • Real-time object tracking across 10+ live video streams with sub-500ms latency • LLM-powered research summarization pipeline reducing reading time by 65% • Fraud detection model achieving 0.94 AUC-ROC with advanced class imbalance handling • Stress detection system achieving 92% balanced accuracy using physiological signal data : • GenAI & LLMs — LangChain, LangGraph, Hugging Face Transformers, FAISS, Llama3 • Computer Vision — YOLOv9, OpenCV, real-time object tracking at scale • MLOps & Deployment — Docker, Kubernetes, Kubeflow, CI/CD Pipelines, DVC • Cloud Platforms — GCP (Vertex AI, BigQuery), Azure (ML Studio, ADF, Databricks) • Data & Modeling — XGBoost, Scikit-learn, PySpark, SQLI operate across both GCP and Azure ecosystems — leveraging Vertex AI for model training pipelines, Azure ML Studio for experiment tracking and governance, and Azure Data Factory for enterprise-scale data orchestration.I am actively pursuing full-time positions as an AI/ML Engineer or GenAI Engineer, with a preference for roles involving complex problem-solving, scalable system design, and production AI deployment.For professional inquiries, please reach me at @. or via LinkedIn.

Experience

1. Generative Ai Engineer

   Diebold Nixdorf

   Feb 2026 — Present · Mumbai, IN

Education

• SVKM's NMIMS Mukesh Patel School of Technology Management & Engineering

  Master of Technology - MTech, Artificial Intelligence

• Don Bosco Institute of Technology (D.B.I.T)

  Bachelor of Engineering - BE, Mechanical Engineering

  2017 — 2021