Vatsal Srivastava

Software Engineer

Bengaluru, Karnataka, India6 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Experienced in Azure SQL Data Integration and replication features.
Innovative projects in IoT and Machine Learning at Samsung.
Interned on a predictive model for mine safety.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in cloud data solutions and machine learning applications.

Contact

Skills

Core Skills

C#C++SqlAzure Sql DbMachine LearningAndroid Development

Other Skills

.NETWeb APIsMS SQL ServerWi-Fi 802.11ac/n/mcIoTAndroid KernelWLANKerasAlgorithm DesignData StructuresResearchGuitarPianoDrumsDebugging

About

Engineer by profession. Innovator by passion. Artist by heart.

Experience

6 yrs 9 mos

Total Experience

3 yrs 4 mos

Average Tenure

4 yrs 10 mos

Current Experience

Microsoft

3 roles

Software Engineer II

Aug 2024 – Present · 1 yr 9 mos

Level 62 | Azure Data: Fabric Mirroring and other replication features.

C++C#

Software Engineer II

Sep 2022 – Jul 2024 · 1 yr 10 mos

Level 61 | Azure SQL Data Integration Team
SQL DB, Fabric mirroring, Change data capture.
Tech: .NET (C#, C++, sql)

.NETC#C++SQL

Software Engineer

May 2021 – Aug 2022 · 1 yr 3 mos

Level 60 | Azure SQL Data Integration Team
Working for data replication engine, which involves Change Tracking (Used by DA applications in many MNCs), Transactional Replication, Change Data Capture, Synapse Link, all through Azure SQL DB (Microsoft's cloud product) and MS SQL Server (On-Prem product) on .NET framework (C#, C++, Web APIs).

C#C++Web APIsAzure SQL DBMS SQL Server

Samsung india

Software Engineer CL2

Jun 2019 – May 2021 · 1 yr 11 mos · Logix Cyber Park, Noida

Worked in innovation team with projects on Wi-Fi 802.11ac/n/mc, IoT and Machine Learning.
Worked on Android Kernel (driver) and framework, WLAN global issues in Wi-Fi system team.

Wi-Fi 802.11ac/n/mcIoTMachine LearningAndroid KernelWLANAndroid Development

Indian institute of technology (indian school of mines), dhanbad

Project Intern

May 2018 – Jun 2018 · 1 mo · Dhanbad, Jharkhand, India · Hybrid

Mine collapse warning assistance device
A team of our professors were working on a Mine collapse warning assistance device, in which I volunteered as an intern engineer. There are multiple factors inside a mine which can be monitored and by training a supervised model with earlier data, we can predict when a particular region in a mine can collapse. We used Keras and basic machine learning techniques for this project and submitted the report.

KerasMachine Learning