Nidhi Srivastava

Software Engineer

Bengaluru, Karnataka, India3 yrs 4 mos experience

Key Highlights

Led Kubernetes microservices deployment improving uptime by 40%
Achieved 97% accuracy in cancer cell classification
Developed automation scripts reducing manual intervention by 80%

Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in cloud management and machine learning.

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Skills

Core Skills

KubernetesCloud ManagementApi ManagementCloud MonitoringMachine Learning

Other Skills

API integrationsAmazon Web Services (AWS)Automation scriptsCloudWatchDeep learning modelsGo (Programming Language)Google Cloud Platform (GCP)GrafanaJavaJenkinsNetflix ConductorNetflix conductorPostman APIPrometheusPython

Experience

3 yrs 4 mos

Total Experience

1 yr 8 mos

Average Tenure

1 yr 9 mos

Current Experience

Sharechat

Software Developer

Sep 2024 – Present · 1 yr 9 mos · Bengaluru, Karnataka, India

Synamedia

2 roles

Software Engineer

Jun 2023 – Sep 2024 · 1 yr 3 mos · Bengaluru, Karnataka, India · On-site

Led the deployment and management of Kubernetes-based microservices, streamlined workflows using Netflix Conductor, and improved system uptime by 40%.
Implemented SRT and RTMP input configurations on a SaaS platform, leveraging API integrations to reduce buffering time by 50%, ensuring seamless communication with OTT, live TV, and CDN platforms via REST APIs.
Developed automation scripts for cloud and container management, reducing manual intervention and human error by 80%, while enhancing system security.
Continuously monitored and analyzed key cloud metrics using Grafana and CloudWatch, proactively resolving cluster failures and high CPU/Disk usage, achieving 99.9% uptime and ensuring a seamless user experience.

KubernetesNetflix ConductorAPI integrationsGrafanaCloudWatchAutomation scripts+1

Software Engineer Intern

Feb 2023 – Jun 2023 · 4 mos · Bengaluru, Karnataka, India · On-site

Worked with Quortex APIs to integrate and optimize streaming workflows.
Configured and set up Grafana and Prometheus for real-time monitoring and performance visualization.

Quortex APIsGrafanaPrometheusAPI Management

Siamaf healthcare

Machine Learning Intern

Jul 2022 – Dec 2022 · 5 mos · Bengaluru, Karnataka, India

Utilized deep learning models and achieved 97% accuracy in classifying cancer cells while analyzing histopathological images. Collaborated effectively with a multidisciplinary team for improved diagnostics and treatment planning. Used Python for model development and analysis.

Deep learning modelsPythonMachine Learning