Rahul Agrawal

CTO

Bengaluru, Karnataka, India10 yrs 7 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in machine learning model development.
  • Proficient in AWS deployment architectures.
  • Strong background in solution architecture.
Stackforce AI infers this person is a Machine Learning Engineer specializing in renewable energy solutions.

Contact

Skills

Core Skills

Solution ArchitectureMachine Learning

Other Skills

golangCJavaREST APIsAWS

About

Currently Working as ML engineer to support the development of machine learning models to predict production of solar energy produced by solar panel based on weather forecast. It further requires designing the deployment architecture and deploy the model on AWS cloud.

Experience

10 yrs 7 mos
Total Experience
5 yrs 3 mos
Average Tenure
9 yrs 7 mos
Current Experience

Samsung r&d institute india

3 roles

Chief Engineer

Promoted

Jan 2022Present · 4 yrs 3 mos

Solution ArchitecturegolangCJavaREST APIs

Lead Engineer

Promoted

Mar 2018Dec 2021 · 3 yrs 9 mos

Senior Software Engineer

Jul 2016Feb 2018 · 1 yr 7 mos

Indian institute of technology, kanpur

M Tech Student

Jul 2015Jul 2016 · 1 yr

Qualcomm

Internship

May 2014Jul 2014 · 2 mos · India

Education

Indian Institute of Technology, Kanpur

Master’s Degree — VLSI

May 2015Jun 2016

Indian Institute of Technology, Kanpur

Bachelor’s Degree — Electrical and Electronics Engineering

Jan 2012Jan 2015

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