Saurav Rai M

I’m an AI/ML Engineer focused on building end-to-end machine learning systems and LLM-powered applications. I’ve worked on scalable pipelines that integrate REST APIs, optimize model performance, and prioritize efficient AI system design.

In my internship work, I built an anomaly detection system achieving 80% precision for detecting data drift, while developing and maintaining data pipelines for automated processing workflows. I also developed automated dashboards with Power BI to monitor system performance and reduce manual effort by up to 60%, and I integrated REST API-driven data workflows to support scalable ML and analytics.

My projects reflect how I like to ship practical AI: I built an AI-powered educational chatbot using Gemma (Ollama) with multilingual NLP pipelines and MongoDB tracking, reducing response latency by 50% via an optimized fallback model. I’ve also created an NLP-based resume screening engine using TF-IDF and embedding similarity, and a geospatial analysis pipeline consolidating 10,000+ records from multiple APIs, with dashboards for exploratory analysis; I aim to bring this same end-to-end rigor to production ML/LLM roles.