Praneta R.

Software Engineer

Bengaluru, Karnataka, India7 yrs 11 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expertise in C# and .NET Framework.
Experience with Azure and DevOps tools.
Published research on deep learning techniques.

Stackforce AI infers this person is a Backend Software Engineer with expertise in cloud technologies and data processing.

Contact

Skills

Core Skills

C#.net FrameworkSpring FrameworkKafka StreamsDeep Learning

Other Skills

AzureAzure DevOpsREST microservicesKafka APIsElastic SearchPostgreSQLJPEG/MPEGConvolutional Neural NetworkAlgorithmsData StructuresJavaSpring BootRESTful WebServicesCore JavaMaven

About

Software Engineer for Microsoft-Teams. I have expertise in C#, .NET Framework, Azure, Azure DevOps, Spring Boot, Java, Kafka Streams, Kafka APIs, Kubernetes, Data Structure, and Algorithms. I graduated with a degree in Software Engineering from NIT Rourkela.

Experience

7 yrs 11 mos

Total Experience

3 yrs 6 mos

Average Tenure

5 yrs 3 mos

Current Experience

Microsoft

Software Engineer 2

Feb 2021 – Present · 5 yrs 3 mos · Bengaluru, Karnataka, India

Microsoft Teams

C#.NET FrameworkAzureAzure DevOps

Ge transportation, a wabtec company

Software Engineer

Jul 2018 – Feb 2021 · 2 yrs 7 mos · India

Having quite a good implementation knowledge and worked with multiple teams on multiple products in the organization. Experienced in spring framework, REST microservices, Kafka Streams, Kafka APIs, Elastic Search, PostgreSQL in the field of backend development.

Spring FrameworkREST microservicesKafka StreamsKafka APIsElastic SearchPostgreSQL

Ge

3 roles

Software Engineer

Jun 2018 – Feb 2021 · 2 yrs 8 mos

Software Engineer

Jun 2018 – Feb 2021 · 2 yrs 8 mos

Edison Engineer

Jun 2018 – May 2020 · 1 yr 11 mos

GE’s Edison Engineering Development Program (EEDP) is an opportunity which offers exceptional experiences in engineering products and its design. Provides intense technical training and a variety of business-critical assignments to make innovative contributions. As part of this program, I completed
Rotational assignments in engineering projects driven by real GE business priorities.
Advanced engineering coursework (A - Course and B - Course)
Eng@GE class – focusing on design review fundamental
Regional Leadership Training: Activating your Leadership Journey

National institute of technology rourkela

Digital Forensics

Oct 2017 – May 2018 · 7 mos · National Institute of Technology, Rourkela

Detection of double compression in JPEG/MPEG using trained deep Convolutional Neural Network with the set of JPEG/MPEG data. Also, successfully published a conference paper in International Conference on Information Systems Security (ICISS).

Deep LearningJPEG/MPEGConvolutional Neural Network