Ravichandra M

Software Engineer

Bengaluru, Karnataka, India4 yrs 2 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Experienced in backend development with Java and Microservices.
Strong foundation in machine learning and data analysis.
Proficient in developing IoT solutions and real-time systems.

Stackforce AI infers this person is a Backend Developer with expertise in IoT and Machine Learning.

Contact

Skills

Core Skills

Java DevelopmentMicroservicesDjangoMysql DbPythonTensorflowIotArduino

Other Skills

AcademiesAlgorithmsAmazon Web Services (AWS)AngularArtificial Intelligence (AI)Back-End Web DevelopmentC (Programming Language)C++Coding StandardsCommunicationConcurrent ProgrammingData AnalysisData ScienceData Structures and AlgorithmsDebugging

About

Working as a SWE at Google

Experience

4 yrs 2 mos

Total Experience

1 yr

Average Tenure

1 yr 6 mos

Current Experience

Google

Software Engineer

Dec 2024 – Present · 1 yr 6 mos · Bengaluru, Karnataka, India

Coding StandardsJava DevelopmentMicroservicesKubernetesDistributed SystemsBack-End Web Development+2

Kotak mahindra bank

Software Engineer

Sep 2024 – Nov 2024 · 2 mos

Samsung r&d institute india

Software Engineer

Aug 2022 – Aug 2024 · 2 yrs · Bengaluru, Karnataka, India

Cisco

Technical Intern

Jan 2022 – Jun 2022 · 5 mos · Bengaluru, Karnataka, India

Contributed to RAIDN-SP project in Intellectual Capital(IC) development.
Worked on the Audit & recommendations of devices in Service Provider Network.
Developed different logic styles for various IC's that check for system compliance.
Technologies Used: Django, Angular, MySQL DB

DjangoAngularMySQL DB

Indian institute of technology, madras

Project Intern

Aug 2021 – Nov 2021 · 3 mos

Worked on Real time Ripened Fruit Detection Project, Used Intel Realsense D435i, Object detection using Tensorflow.
Image data wrangling by intel realsense library using Python and SSD MobileNet V2 Model.
Simulation of Harvesting bot and verified the localization of fruit from front view of tree.
Technologies used: Python, Tensorflow, Keras

PythonTensorflowKeras

Indicold

Project Intern

Mar 2021 – May 2021 · 2 mos

Developed an Advanced Emergency System using the Internet of Things (IoT) Technology.
Built the whole hardware using Node-MCU, Coded in Arduino, and interfaced with IFTTT.
Researched different mechanisms running in the cold storage as a team of three.
Technologies used: Arduino, IoT, IFTTT.

ArduinoIoT