Neha Singh

Software Engineer

Noida, Uttar Pradesh, India6 yrs 11 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Spearheaded AI enhancements increasing user engagement by 26%.
Developed automated deployment pipeline reducing manual steps.
Collaborated with cross-functional teams to enhance customer satisfaction.

Stackforce AI infers this person is a Software Engineer specializing in AI and Cloud Computing for Mobile Technology.

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Skills

Core Skills

MlopsArtificial Intelligence (ai)Software DevelopmentSoftware DeploymentCloud ComputingData Science

Other Skills

KubernetesGoogle Kubernetes Engine (GKE)Project ManagementData AnalysisAgile MethodologiesLeadershipProduct DevelopmentDevOpsAzure MLMicrosoft AzureKaggleData MiningData AnalyticsData CollectionAndroid

About

As a Software Engineer at Samsung India, I focus on developing and implementing AI-driven enhancements to optimize the mobile platform. By leading cross-functional teams and collaborating on innovative features, we have improved user engagement and satisfaction, demonstrated through metrics such as increased daily active users and reduced customer complaints. I hold a BTech in DevOps from the University of Petroleum and Energy Studies and specialize in MLOps, Kubernetes, and Google Kubernetes Engine. My passion lies in contributing to impactful technological advancements, emphasizing collaboration and innovation to deliver high-quality solutions.

Experience

6 yrs 11 mos

Total Experience

1 yr 10 mos

Average Tenure

4 yrs 3 mos

Current Experience

Samsung india

2 roles

Software Engineer

Jul 2022 – Present · 3 yrs 10 mos

I spearheaded AI-driven enhancements for Samsung’s mobile platform, achieving remarkable results in user engagement and satisfaction.
Implemented AI-powered image recognition, leading to a 26% increase in daily active users.
Resolved SystemUI issues, which reduced customer complaints by 43% and improved retention by 29%.
Led cross-functional teams to deploy new features, enhancing customer satisfaction by 26%.

MLOpsKubernetesGoogle Kubernetes Engine (GKE)Artificial Intelligence (AI)Software DevelopmentProject Management

Software Engineer Intern

Jan 2022 – Jun 2022 · 5 mos

Artificial Intelligence (AI)Data AnalysisAgile MethodologiesLeadershipProduct DevelopmentSoftware Development

Galaxycard

Data Scientist

Oct 2021 – Dec 2021 · 2 mos · Gurugram, Haryana, India

I developed a pipeline using Jenkins X and Google kubernetes Engine which helped in removing the manual steps for deployment, and as soon as we have the code committed and tested on metrics it will be deployed for application.
#JenkinsX #k8s #GitHub #Squashing #pyTest

MLOpsKubernetesSoftware DeploymentDevOpsAgile MethodologiesLeadership+2

Azure developer community

Community Organizer

Aug 2021 – Jun 2022 · 10 mos · Gurugram, Haryana, India

Leadership

Anitab.org

GHC Scholar

Aug 2021 – Oct 2021 · 2 mos

As a vGHC Scholar I am connecting with other women in technology from all over the world, sharing my experience and knowledge and also learning from them.

Leadership

Xebia

Project Intern

Jun 2021 – Jul 2021 · 1 mo · Gurugram, Haryana, India

I worked under the mentorship of Ankur Sharma sir, where I built and deployed machine learning models using Microsoft AzureML's Designer, and Automated ML using structured and unstructured data, moreover created software documentation for that as well.
I worked on building a software pipeline for the ToDo app using Azure DevOps.
Website Link: https://azureml.carrd.co/

Software DeploymentCloud ComputingAzure MLMicrosoft Azure

Cluzters.ai

Data Science Research Intern

Dec 2020 – Jun 2021 · 6 mos · Hyderabad, Telangana, India

Cluzters.ai is the fastest-growing data science and AI community for the latest content, industry use cases, job opportunities, and many more useful free resources.
I worked on a project, Voice Operated ChatBot, where I used GCP API, JS, and python for the same.
I worked on various Machine Learning Use Cases like Covid Prediction using X-ray, Disease Prediction, and Loan Eligibility, and deployed them on cluzter.ai.
I have learned a lot about Data Science and its practical usage in the industry.

Agile MethodologiesLeadershipData ScienceKaggleArtificial Intelligence (AI)Software Deployment

The book train

Digital Marketing Intern

Jun 2020 – Jul 2020 · 1 mo

I improved my Digital Marketing skills promoted organization's updates to the target audience on social media.

Statusneo

Developer Evangelist

Apr 2020 – Aug 2020 · 4 mos · Gurgaon, Haryana

I worked under the guidance of Karan Nangru sir, Covid-19 Prediction Model Project.
Language: python
Software:
Data Warehouse: Snowflake
Visualisation Tool: PowerBI, Tableau
Data Science and Analytics Platform: Zepl
I gained confidence and learned how to work in a real organization following Agile Methodology.
1. Managing various tasks within a team as a Tech Lead.
2. Sharing Tech Knowledge in StatusNeo's LinkedIn.
3. Working with the Application Tracking System.
4. Building and deploying website on WordPress.