Shivangi Guneja

Software Engineer

Bengaluru, Karnataka, India5 yrs 9 mos experience

Highly Stable

Key Highlights

Expert in cybersecurity and automation.
Strong foundation in data analytics and image processing.
Proven ability to solve complex business challenges.

Stackforce AI infers this person is a Cybersecurity and Data Science specialist with a strong technical background.

Contact

Skills

Core Skills

AutomationResearchData Analytics

Other Skills

5G New Radio (NR)API DevelopmentImage ProcessingManagementProduct AnalysisProject ManagementPython (Programming Language)Test Execution

About

I used to speak the language of circuits and now I talk in terms of strategy. Started with semiconductors, scaled to telecom, now decoding business puzzles at IIM K. From Safe Security to Marvell, I’ve dabbled in tech across roles and industries, and somewhere along the way, learned that curiosity is my best skill. Always chasing problems that need both code and context. Connect to discuss more :)

Experience

Marvell india

3 roles

Staff Engineer

Apr 2024 – Jun 2025 · 1 yr 2 mos

Senior Engineer

Promoted

Apr 2023 – Mar 2024 · 11 mos

Firmware Engineer

Jun 2021 – Mar 2023 · 1 yr 9 mos

Vihaan networks ltd.

Graduate Engineer Trainee

Aug 2020 – Mar 2021 · 7 mos · Gurgaon, Haryana, India

Safe security

SDE Intern

Jan 2020 – Jul 2020 · 6 mos · New Delhi Area, India

Software Development Engineer Intern
Building Capability of External Assessment within a flagship security product of Lucideus
1. Performed the Research of different Security Control for External Assessment and Manual External Assessment for the required organizations.
2. Contributed to the Development of API Endpoints to conduct External Security Assessment of digital assets.
3. Carried out the formulation of Automated Test Suites for the Product Safe-External.

Birla institute of technology and science, pilani

Research Intern

May 2019 – Jul 2019 · 2 mos

Worked in Advance Data Analytics and Parallel Technologies Lab
1. Analyzed various Image Captioning Models by implementing conventional methods such as CNN, Deep Bidirectional LSTMs, and Recurrent Fusion Networks.
2. Designed a new pipeline model with Compositional Architecture-Based Image captioning thus enhancing the quality of the generated captions.