Rahul Anand Sharma

Senior Software Engineer

Mountain View, California, United States5 yrs 6 mos experience

Key Highlights

  • Expert in IoT security and machine learning applications.
  • Significant contributions to cloud computing at Google and AWS.
  • Innovative projects in agriculture technology and software development.
Stackforce AI infers this person is a Cloud Computing and Agritech specialist with a focus on IoT and machine learning.

Contact

LinkedIn

Skills

Core Skills

Machine LearningSoftware Infrastructure

Other Skills

Large Language Models (LLM)Computer NetworkingInternet of Things (IoT)CybersecurityjavaHTML5Database ManagementC++Digital Image ProcessingPythonPHPMySQLHTMLCJavaScript

About

I am working on the problem of IoT security and applying machine learning to solve interesting challenges in computer networks and systems

Experience

5 yrs 6 mos
Total Experience
1 yr 6 mos
Average Tenure
10 mos
Current Experience

Google

Senior Software Engineer

Aug 2025 – Present · 10 mos · Sunnyvale, California, United States · On-site

  • JAX, LLM optimization for TPUs
Software InfrastructureMachine Learning

Amazon web services (aws)

2 roles

Applied Scientist

May 2024 – Jul 2025 · 1 yr 2 mos · On-site

  • GenAI Spark troubleshooting: https://aws.amazon.com/blogs/big-data/introducing-generative-ai-troubleshooting-for-apache-spark-in-aws-glue-preview/

Software Development Engineer

Jan 2023 – Jun 2024 · 1 yr 5 mos · On-site

Microsoft research

Research Intern

May 2020 – Jul 2020 · 2 mos · Seattle, Washington, United States · Remote

Microsoft research, india

Research Fellow

Sep 2016 – Jul 2018 · 1 yr 10 mos · Bengaluru Area, India

  • 1.) Working on FarmBeats Project for Indian Agriculture which is a joint initiative between MSR Redmond and MSR India.
  • 2.) Our mission is to improve farming through data-driven practices. We are inventing new ways to gather data, to store them in the cloud, and feed them back to the farmers.

Hackerrank

Intern

Apr 2015 – Aug 2015 · 4 mos · Bengaluru Area, India

  • Improved the Codechecker by adding support for Image Processing related problems.
  • Ten Fold reduction in Deployment time by improvising the asset pre-compilation pipeline.
  • Winner of Hackathon organized at HackerRank by Building Static code Analysis tool.

Education

Carnegie Mellon University

Doctor of Philosophy - PhD — Cylab

Aug 2018 – Jan 2023

International Institute of Information Technology Hyderabad (IIITH)

BTech + MS By Research in Computer Science and Engineering — Computer Science and Engineering

Jan 2012 – Jan 2016

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