Divyansh Gaba

Software Engineer

New Delhi, Delhi, India8 mos experience

Key Highlights

  • Strong foundation in algorithms and system design.
  • Experience in enhancing machine learning models.
  • Passionate about problem-solving and continuous learning.
Stackforce AI infers this person is a Software Engineer with a focus on Machine Learning and Web Development.

Contact

Skills

Core Skills

Web DevelopmentMachine Learning

Other Skills

LaravelJavaScriptLinuxSoftware Developmentsoftware engineeringPHPFlaskNext.jsReact.jsContinuous Integration and Continuous Delivery (CI/CD)REST APIsDatabase Management System (DBMS)Django REST FrameworkScikit-LearnBlockchain

About

Hi, I’m Divyansh Gaba I’m currently working as a Software Development Engineer (SDE-1) at Amazon, where I get to solve challenging problems and build systems that impact millions of people. I graduated with a B.Tech in Computer Science and Applied Mathematics from IIIT Delhi, where I discovered my love for problem-solving through competitive programming and gradually transitioned into software engineering. Over the years, I’ve built a strong foundation in algorithms, system design, and backend development, machine learning. Outside of work, I try to keep life balanced with things I love like traveling, gaming, and (still) some competitive programming. I’m always curious, always learning, and always looking for ways to grow both personally and professionally.

Experience

8 mos
Total Experience
8 mos
Average Tenure
8 mos
Current Experience

Amazon

2 roles

Software Development Engineer-1

Aug 2025Present · 8 mos · Hyderabad, Telangana, India · On-site

Software Engineer Intern

Jan 2025Jun 2025 · 5 mos · Hyderabad, Telangana, India · On-site

Ongc videsh ltd

Software Engineering Intern

May 2024Jun 2024 · 1 mo · India · On-site

LaravelJavaScriptWeb Development

Cse department iiit delhi

Undergraduate Research Intern

Jun 2023Jun 2024 · 1 yr

  • Enhanced open-source deep reinforcement learning model for more realistic autonomous driving simulations through advanced lane navigation and object detection, significantly improving project fidelity
  • Implemented a data identification system, streamlining the selection process for teleoperated vehicle data transmission, resulting in an increase in remote driving efficiency and reducing data overload by 5%
Machine LearningLinux

Education

Indraprastha Institute of Information Technology, Delhi

Bachelor of Technology - BTech — Computer Science with Applied Mathematics

Dec 2021Jun 2025

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