Jeegn Dani

About Jeegn Dani

I’m a software and machine learning engineer with experience building intelligent, scalable systems across cloud infrastructure, backend services, and applied AI. I hold a Master’s and dual Bachelor’s degree in Computer Science and Data Science from Purdue University, with published research in robotics and computer science education.I’ve worked across the stack, deploying containerized applications with Docker and Kubernetes, building RESTful APIs with Django and FastAPI, and implementing CI/CD pipelines on AWS using Jenkins. My systems engineering background includes Linux-based development and Bash scripting for automation and process orchestration.On the ML side, I’ve trained GPT-based models from scratch, built self-supervised pipelines for satellite imagery, and deployed robotics control systems using Transformers and diffusion models. I’m proficient with PyTorch, TensorFlow, HuggingFace, and Scikit-learn, and have applied ML techniques across domains like NLP, computer vision, and healthcare.I’ve also built educational infrastructure at scale, including a Retrieval-Augmented Generation (RAG) AI Teaching Assistant and a robust SQL and Relational Algebra autograder for over 500 students.I thrive at the intersection of intelligent systems and reliable engineering and I’m driven by building solutions that are not only technically sound but also meaningful in the real world.

Experience

1. Software Engineer

   Google

   Mar 2026 — Present · Mountain View, CA, US

   YouTube Shorts ML Infra

Education

• Purdue University - Office of the Vice Provost for Graduate Students and Postdoctoral Scholars

  Master's degree, Computer Science

• Purdue University

  Bachelor's degree, Computer Science and Data Science

  2019 — 2023

• Anand Niketan High School

  High School Diploma

  2015 — 2019