Rajeev Atla
About

Meet the person behind Rajeev Atla

I explore large-scale machine learning, intelligent tooling, and the infrastructure that keeps models useful.

I am a US-based machine learning engineer and Computer Engineering MS student at Rutgers University. My work spans multimodal AI, generative models, and the data platforms needed to support them. I enjoy connecting research ideas with production-grade systems that real users can depend on.

Education

Rutgers University

Blending computer engineering, data science, and machine learning to build practical AI systems.

  • 2025 - Present

    MS in Computer Engineering (Machine Learning specialization)

    Coursework highlights include Reinforcement Learning, Multimodal AI, and High Performance/Distributed Computing.

  • 2021 - 2025

    BS in Computer Science, Computer Engineering, and Data Science

    Eleanor and Samuel Sneath Endowed Scholarship recipient; advanced study in AI, Distributed Deep Learning, and Statistical Learning.

Journey

Experience snapshot

Highlights from recent roles delivering reliable software and machine learning systems.

May 2024 - September 2024

Software Engineering Intern - Atlait Inc.

Reduced data storage costs, modernized the front-end stack, and accelerated CI/CD throughput while delivering ML-powered features across Atlait's enterprise platform.

Toolkit

Skills at a glance

The languages, frameworks, and cloud platforms I reach for when building ML solutions.

Languages

  • Python
  • R
  • SQL
  • Java
  • Scala
  • C/C++
  • Rust
  • Elixir
  • MATLAB
  • Bash

Machine Learning

  • PyTorch
  • TensorFlow
  • Keras
  • LangChain
  • LangGraph
  • Scikit-Learn
  • NumPy
  • Pandas

Data Visualization

  • Matplotlib
  • Seaborn
  • Plotly
  • Tableau

Cloud & DevOps

  • AWS
  • Azure
  • Vercel
  • Docker
  • Kubernetes
  • GitHub Actions

Tools & Databases

  • Jupyter
  • Apache Kafka
  • Git
  • Linux (Ubuntu)
  • PostgreSQL
  • MongoDB
  • Jira