Venkatesh S

Mobile Engineer

Bengaluru, Karnataka, India0 mo experience

Key Highlights

  • Passionate about learning and building innovative solutions.
  • Hands-on experience in deep learning and Android development.
  • Strong foundation in MERN stack web development.
Stackforce AI infers this person is a versatile Software Engineer with expertise in AI/ML and full-stack development.

Contact

Skills

Core Skills

Deep LearningMachine Learning

Other Skills

PythonTensorFlowAndroid DevelopmentMERN StackJavaFirebaseC++C (Programming Language)GitFlaskScrapy FrameworkHTML5CSS3JavaScriptReact.js

About

As a kid, I never really settled on what I wanted to pursue as my career. First I wanted to be a Scientist (when I was introduced to Science), then between a Doctor (when I was introduced to Biology) and a Lawyer (when I was introduced to Civics). However, one fine day I was introduced to Java and OOPS in class 9 and I got utterly hooked to it. That's when I decided I was going to become a Software Engineer. So here I am, now a 4th year Computer Science Engineering student at MSRIT. Currently, I am into Native Android, MERN stack web development and Deep Learning. I have done multiple courses and projects related to them as well. In general though, I just love learning new things and using them to build stuff. Skills - Native Android: XML, Java, Kotlin, Android SDK, Retrofit, Room, MVVM, Material Design Web: HTML5, CSS3, JavaScript, React.js, Node.js, Express.js, PostgreSQL, MongoDB Machine Learning: Python, Data Preprocessing, ML Algorithms, CNN, TensorFlow Other Programming Languages: C, C++ Other Tools and Technologies: Git, Firebase, Flask, Web scraping, Heroku

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Samsung prism

Student Researcher

Jul 2020Mar 2021 · 8 mos · Bengaluru

  • Samsung PRISM is a student program, run by Samsung R&D Institute Bangalore (SRI-B), where I worked on a worklet assigned by them, titled "Implement Customizable Decision Points for Faster Inference in DNNs", with applications in on-device intelligence.
  • Developed a framework for reducing computations and latency in deep neural networks during prediction time, while preserving accuracy.
Deep LearningMachine LearningPythonTensorFlow

Education

Ramaiah Institute Of Technology

Bachelor of Engineering - BE — Computer Science and Engineering

Jan 2018Jan 2022

FIITJEE

Jan 2016Jan 2018

Cambridge Public School - India

Jan 2010Jan 2016

Shantiniketan Educational Institutions

Jan 2004Jan 2010

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