Sakshi Sharma

Software Engineer

Bangalore Urban, Karnataka, India5 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Experienced Software Engineer with a strong background in web development.
Proficient in multiple programming languages including C#, Python, and JavaScript.
Demonstrated expertise in building scalable software solutions.

Stackforce AI infers this person is a Software Engineer with expertise in Web Development and Computer Vision.

Contact

Skills

Core Skills

Web DevelopmentC#Asp.net CoreComputer Vision

Other Skills

FigmaMERNAzure Active DirectoryRGB-depth imagesPoint Cloud LibraryC++C (Programming Language)Python (Programming Language)LinuxPublic SpeakingCase StudiesOperating SystemsLaTeXPythonMATLAB

Experience

5 yrs 3 mos

Total Experience

2 yrs 3 mos

Average Tenure

2 yrs 4 mos

Current Experience

Google

Software Engineer

Jan 2024 – Present · 2 yrs 4 mos · Bengaluru, Karnataka, India · On-site

Coding ninjas

Guest Speaker and Mentor

Aug 2021 – Jul 2025 · 3 yrs 11 mos

Microsoft

Software Engineer

Jun 2021 – Jan 2024 · 2 yrs 7 mos

Girlscript summer of code

Open Source Participant

Feb 2021 – Jun 2021 · 4 mos

Headkick private limited

Web Development Intern

Sep 2020 – Nov 2020 · 2 mos · Remote

Worked on the wireframing (using Figma) and development of the login flow for the
website of Headkick using MERN (MongoDB, Express, React, and Node.js) stack. Website link : https://www.headkick.co/.

FigmaMERNWeb Development

Microsoft

Software Engineer Intern

May 2020 – Jul 2020 · 2 mos · Hyderabad, Telangana, India

1. Built the Pattern Identification Service for the iOS version of the Microsoft Family Safety app. Coded and tested the core functionalities of the API from the scratch, to store and manage mappings between URLs from network traffic and apps that generated them, using C# and ASP.NET Core.
2. Implemented authentication using Azure Active Directory to allow only Microsoft members to use it, and authorization by maintaining a user policy for each user.
3. This service will be extensively used by the team as a base to create and validate rules and patterns for Machine Learning models for network activity attribution service.

C#ASP.NET CoreAzure Active Directory

Indian institute of technology, guwahati

Department Internship Representative

Sep 2019 – Dec 2019 · 3 mos

Yantra ai technologies

Software Developer

May 2019 – Jun 2019 · 1 mo · Pune/Pimpri-Chinchwad Area

Devised a program for ground-based people detection using RGB-depth images and Point Cloud Library. Obtained live RGB-D data from a Microsoft Kinect and used it to detect people standing or walking on a planar ground plane in real-time, achieving 73% accuracy on real-time input, with standard CPU computation.

RGB-depth imagesPoint Cloud LibraryComputer Vision