Harshit Khandelwal

Software Engineer

Alwar, Rajasthan, India5 yrs 8 mos experience

Key Highlights

5.9 years of experience in software development.
Full Stack Engineer with a strong focus on SaaS applications.
Proven track record in optimizing algorithms for performance.

Stackforce AI infers this person is a Full Stack Software Engineer with expertise in SaaS and algorithm optimization.

Contact

Skills

Core Skills

C++Full Stack DevelopmentAlgorithm Implementation

Other Skills

CJavaScriptLow-Level DesignMATLABC/C++CSSPythonSoftware as a Service (SaaS)Version ControlGit HubSystems DesignHigh Level DesignCascading Style Sheets (CSS)REST APIsES6

About

I am working as a Software Developer at Microsoft. I am passionate about Software Engineering and problem solving. Years of Experience : 5.9

Experience

5 yrs 8 mos

Total Experience

2 yrs

Average Tenure

1 yr 6 mos

Current Experience

Microsoft

Software Engineer II

Nov 2024 – Present · 1 yr 6 mos · Hyderabad, Telangana, India · Hybrid

Ansys

R&D Engineer II

Jun 2023 – Oct 2024 · 1 yr 4 mos · Pune District, Maharashtra, India · On-site

C++C

Servicenow

Associate Software Engineer

Jul 2020 – May 2023 · 2 yrs 10 mos · Hyderabad, Telangana, India

1. Worked as a Full Stack Engineer in CSM (Customer Service Management) Engineering. Worked on both client side and server side features following test driven development methodologies.
2. Worked on multiple products in CSM application suite spanning the whole product development lifecycle, starting from prototyping to development and on to testing and then maintenance by resolving bugs and live issues arising from customer implementation of the product.
3. Some of my contribution were to the Communities Portal, various modules of Workforce Optimisation product and CSM Agent Mobile Application.

JavaScriptLow-Level DesignFull Stack Development

Samsung r&d institute-noida

Research And Development Intern

May 2019 – Jul 2019 · 2 mos · Noida, Uttar Pradesh, India

Implementation of BAT algorithm for SINR maximization
Aim of the project was to maximize Signal-To-Noise-Plus-Interference-Ratio(SINR) for Massive MIMO receiver system in 5G technology.
SINR was optimised using Bat algorithm which is a metaheuristic algorithm for global optimization.
MATLAB R2019a was used for implemenation of the algorithm.