S

Sujata D.

Software Engineer

Bengaluru, Karnataka, India5 yrs 6 mos experience
Most Likely To Switch

Key Highlights

  • Expert in backend development with Golang and Java.
  • Proficient in deep learning and machine learning projects.
  • Innovative solutions for automotive safety and energy efficiency.
Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in AI/ML and Smart City solutions.

Contact

Skills

Core Skills

Deep LearningMachine LearningEmbedded Systems

Other Skills

AlgorithmsAmazon SagemakerAmazon Web Services (AWS)ArduinoBackend DevelopmentC (Programming Language)C++Cascading Style Sheets (CSS)Dart Programming LanguageData StructuresDeep Neural Networks (DNN)DockerECMAScriptElastic Stack (ELK)Git

About

I am a software engineer who loves solving problems and building products that help people. I am always ready to learn new and challenging technologies to become a better engineer. Things, I'm good at: ☆ Data Structures, Algorithms, and Problem solving ☆ Backend development: Golang, Java (Spring Boot), Nodejs (TypeScript and JavaScript) ☆ Frontend development: React.js, JavaScript

Experience

Intuit

Software Engineer II

Mar 2024Present · 2 yrs · Bengaluru, Karnataka, India · On-site

Swiggy

Software Development Engineer

Aug 2022Feb 2024 · 1 yr 6 mos · Bengaluru, Karnataka, India · Remote

Frontdoor, inc.

Software Engineer

Jun 2021Aug 2022 · 1 yr 2 mos · Pune, Maharashtra, India

Udacity

Bertelsmann AI Scholar

Mar 2020Sep 2020 · 6 mos

  • 1) Worked on different kinds of deep learning architecture in PyTorch including ANN, CNN, RNN, and GAN.
  • 2) Deployed a Sentiment Analysis Model using the Amazon Sagemaker Platform.
  • 3) The major work includes generating TV scripts using recurrent networks, generating faces using DCGAN, and using Reinforcement Learning to build a quadcopter flying agent that learns to take off, hover, and land on its own.
Deep LearningPyTorchAmazon SagemakerReinforcement LearningMachine Learning

Amuroboclub

Student Developer

Nov 2017Feb 2018 · 3 mos · India

  • 1) Member of the team that worked on an alarming system for vehicles to prevent accidents behind collision spots in low visibility conditions.
  • 2) Developed the accident prevention system by giving signals with highly focused lights of red and white combination, resulting in more than 90% reduced accidents in foggy conditions.
  • 3) Decreased the energy consumption of street lights by more than 70% in less busy roads by making a system to decrease the intensity of street lights automatically when no vehicles are passing by.

Education

Aligarh Muslim University

Bachelor of Technology — Electronics Engineering

Jan 2017Jan 2021

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