Arun Jose

About Arun Jose

I\'m a software engineer specializing in backend development with a strong foundation in AI/ML and GenAI. At Amazon, I’ve led the development of backend services for the retail pipeline and catalog infrastructure—owning key projects across API design, service migration, monitoring, and scaling.I also bring hands-on experience with machine learning, deep learning, and GenAI frameworks—enabling me to contribute to intelligent systems that connect backend services with modern AI capabilities. My multidisciplinary academic background in Computer Science (M.S.) and Aerospace Engineering (Ph.D.) sharpens my ability to tackle complex problems with cross-domain insight.Whether building scalable backend services, integrating AI capabilities, or delivering production-grade APIs, I focus on shipping robust, maintainable software that solves real-world challenges. Tech Stack: Java, Python, C++, AWS (Lambda, ECS, DynamoDB, CDK), GenAI (LangChain, RAG), Machine Learning, Deep Learning Degrees: M.S. Computer Science (Georgia Tech), Ph.D. Aerospace Engineering (University of Maryland), B.Tech Aerospace (IIT Madras) Open to roles in: Backend engineering, backend roles with AI/ML or GenAI focus, and high-impact technical systems development

Experience

1. Software Development Engineer

   Amazon

   Jan 2022 — Present · Seattle, WA, US

   Built the infrastructure (using IaC), APIs, database, caching, dashboards, and integration testing for an AWS service in Amazon\'s retail pipeline handling a billion requests/day- Designed the migration of a legacy service processing millions of requests in Amazon\'s retail pipeline to a new AWS service that involved collaborating with six different teams- Led the integration of a TensorFlow based semantic ML model in Amazon\'s retail pipeline to potentially improve False Conflict Rates by 20% and thereby reduce seller friction.

Education

• Udacity

  Nanodegree, C++

  2020 — 2021

• University of Maryland

  M.S, Aerospace Engineering

  2003 — 2005

• University of Maryland

  Doctor of Philosophy - PhD

• Udacity

  Nanodegree, Self-Driving Car Engineer

  2019 — 2019

• University of Maryland

  Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical Engineering

• Georgia Institute of Technology

  Master of Science - MS, Computer Science

  2015 — 2017

• University of Maryland

  Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical Engineering

  2006 — 2012

• Indian Institute of Technology, Madras

  BTech, Aerospace Engineering

  1999 — 2003

• Indian Institute of Technology, Madras

  Bachelor of Technology - BTech

Skills

• Mpi
• Fortran
• Python
• Latex
• Mathematical Modeling
• Matlab
• C
• Heat Transfer
• Openmp
• Fluid Mechanics
• Machine Learning
• Aerodynamics
• Scientific Computing
• High Performance Computing
• Parallel Computing
• Finite Element Analysis
• Numerical Simulation
• Simulations
• Fluid Dynamics
• Java
• Artificial Intelligence
• Data Analysis
• Algorithms
• Computer Vision
• C++
• Reinforcement Learning
• Numerical Analysis
• Tecplot
• Computational Fluid Dynamics (Cfd)
• Cfd
• High Performance Computing (Hpc)
• Cuda
• Computational Photography