Apeksha Pandey

DevOps Engineer

Bengaluru, Karnataka, India3 yrs 7 mos experience

Highly StableAI Enabled

Key Highlights

Expert in optimizing GPU systems for enhanced gaming performance.
Proficient in CI/CD automation using modern tools.
Strong foundation in AI and cloud deployment.

Stackforce AI infers this person is a skilled engineer in AI and GPU optimization within the tech industry.

Contact

Skills

Core Skills

GpuRagCi/cdDevopsCloud Deployment

Other Skills

cross-functional collaborationGPU emulationJenkinsDockerBitbucketKubernetesAWSAzurePythonArtificial Intelligence (AI)Large Language Models (LLM)Retrieval-Augmented Generation (RAG)React.jsGraphaMongoDB

About

At Samsung India, the focus is on optimizing GPU systems to enhance gaming performance for Samsung Exynos chips. Contributions have included significant advancements in GPU emulation, improving simulation accuracy and speed, and enabling intelligent system performance tuning through dynamic resolution scaling. Leveraged expertise in automation to streamline CI/CD pipelines with tools like Jenkins, Docker, and Bitbucket. A Bachelor of Technology graduate in Computer Software Engineering from Graphic Era Hill University. Skilled in AI, large language models, and retrieval-augmented generation, with a strong foundation in cloud deployment and monitoring on AWS and Azure. Motivated by a passion for problem-solving and system design to drive impactful growth in technology solutions.

Experience

3 yrs 7 mos

Total Experience

3 yrs 7 mos

Average Tenure

3 yrs 7 mos

Current Experience

Samsung india

3 roles

Associate Staff Engineer

Apr 2026 – Present · 1 mo · Hybrid

Senior Engineer

Promoted

Mar 2024 – Present · 2 yrs 2 mos · Hybrid

Developed GPU pre-emption and scheduling algorithms to enhance processing efficiency.
Implemented frame and SPS prediction techniques to optimize performance.
Contributed to the RAG pipeline for confluence pages utilizing vector databases and MCP.
Collaborated with cross-functional teams to drive innovative solutions at Samsung India.

GPURAGcross-functional collaboration

Engineer

Oct 2022 – Mar 2024 · 1 yr 5 mos · Hybrid

Contributed to system-level improvements in GPU emulation, driving measurable gains in simulation accuracy and speed.
Automated system benchmarking workflows and CI/CD pipelines using Jenkins, Docker, and Bitbucket.
Collaborated with cross-functional teams to deliver dynamic resolution scaling and intelligent system performance tuning.

GPU emulationCI/CDJenkinsDockerBitbucketGPU

Cognizant

Program Analyst

Feb 2022 – Jul 2022 · 5 mos · Noida, Uttar Pradesh, India

Extensive Experience in Development and Operations:
Proficient in building and maintaining scalable, automated infrastructure using tools such as Jenkins, Docker, Kubernetes, and Ansible.
Cloud Proficiency: Skilled in deploying and managing applications on AWS and Azure cloud services, ensuring cost-effectiveness and security.
Scripting and Automation: Advanced programming skills in Python, Bash, and Go for creating scripts that automate repetitive tasks and optimize workflow.
Monitoring and Optimization: Hands-on experience with monitoring tools (Prometheus, Grafana, ELK Stack) for proactive issue identification and performance tuning.
Collaboration and Agile Methodologies: Adept at working in agile environments, facilitating seamless communication between development, QA, and operations teams.
Achievements:
Implemented an automated CI/CD pipeline that reduced deployment time by 60%.
Orchestrated Kubernetes clusters for seamless microservices management, enhancing system availability.
Led a migration project to move legacy applications to a cloud-based infrastructure, resulting in improved scalability and a 40% reduction in operational costs.