Dev C. Krishna

Senior Software Engineer

Bengaluru, Karnataka, India2 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Full-Stack Development with AI integration.
Proven track record in optimizing performance and reducing latency.
Strong problem-solving skills with a focus on innovative solutions.

Stackforce AI infers this person is a Full-Stack Developer with expertise in AI and Telecommunications.

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Skills

Core Skills

Ai IntegrationSoftware DevelopmentFull-stack Development

Other Skills

AI model implementationAWSDockerDynamoDBGenAIGitHub ActionsJavaKubernetesMicroservicesPythonREST APIsReact.jsSpring BootTensorFlowUI testing automation

About

Strong in design and integration with intuitive problem-solving skills. Proficient in Full-Stack Development (React.js / Next.js, Node.js, Spring Boot, AWS, Docker, Kubernetes, Microservices),. Passionate about implementing and launching new projects. Have ability to translate business requirements into technical solutions.

Experience

Samsung electronics

3 roles

Senior Software Engineer

Mar 2025 – Present · 1 yr · Bengaluru, Karnataka, India · On-site

Implemented an AI model to classify workloads based on real-time usage, dynamically regulating CPU and GPU frequencies to optimize performance and power consumption.
Reduced power consumption and Janks by integrating the model into Android Framework (One UI) using Java.
Developed a framework in Python to automate UI testing on both Samsung and non-Samsung devices, supporting scripts written in Samsung’s custom scripting language

AI model implementationJavaPythonUI testing automationAI IntegrationSoftware Development

Software Engineer

Aug 2023 – Mar 2025 · 1 yr 7 mos · Bengaluru, Karnataka, India · On-site

Worked in Beyond 5G team with modem and AI teams to integrate AI-driven enhancements into 5G and 6G stack.
Integrated a TensorFlow-based Deep-Learning model with modem code, reducing base station discovery latency from 95ms to 5ms.
Developed an application using React.js and Spring Boot for synchronizing releases from multiple vendors (MediaTek, Qualcomm), cutting synchronization time by 90%.
Built REST APIs for authentication, dashboard features, and PLM integration. Deployed frontend using AWS Amplify, used DynamoDB as the database, containerized backend and implemented GitHub Actions pipeline for build and deployment to AWS ECS Fargate.

TensorFlowReact.jsSpring BootAWSDynamoDBREST APIs+3