Shivam Sharma

Software Engineer

Ghaziabad, Uttar Pradesh, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Strong foundation in Java and software development.
Hands-on experience with modern technologies and frameworks.
Proficient in AI/ML and deep learning projects.

Stackforce AI infers this person is a Full Stack Developer with a strong focus on AI and software engineering.

Contact

Skills

Core Skills

Api DevelopmentMicroservicesDeep LearningPython (programming Language)

Other Skills

Cloud-Native DevelopmentFull-Stack ProgrammingAI/ML IntegrationDevOps practicesAgileCI/CDDockerKubernetesGitJenkinsKubeflowReact.jsJavaScriptMySQL & Database ManagementFull Stack Development

About

I am a Computer Science & Engineering graduate with a strong foundation in Java and a keen interest in software development. I enjoy solving problems, writing clean and efficient code, and building logical solutions using core Java. I am currently expanding my skills towards Full Stack Development and actively learning backend and frontend technologies. I am currently seeking opportunities as a Java Developer where I can apply my knowledge, learn industry practices, and grow as a software engineer.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Deep minds technologies llc

Intern – Software Development | Modern Technologies & Emerging Frameworks

May 2025 – Aug 2025 · 3 mos · India · Remote

During my internship as a Software Development Intern, I worked on various modern and emerging technologies including Cloud-Native Development, Full-Stack Programming, AI/ML Integration, and Microservices Architecture. My role involved designing and developing efficient APIs, automating workflows through DevOps practices, and contributing to continuous improvement using Agile and CI/CD methodologies.
I also collaborated closely with cross-functional teams to analyze requirements, design scalable solutions, and deploy features to production environments. Throughout the internship, I gained hands-on experience with tools like Docker, Kubernetes, Git, and Jenkins, while improving code quality through version control and code review processes.
This experience helped me strengthen my technical foundation, enhance problem-solving and debugging skills, and develop a strong understanding of software development lifecycles and best engineering practices.

API DevelopmentMicroservicesCloud-Native DevelopmentFull-Stack ProgrammingAI/ML IntegrationDevOps practices+6

Nvidia

AI/ML Trainee

Oct 2024 – Jan 2025 · 3 mos · On-site

Worked on NVIDIA DGX-A 100 systems with hand-on experience in Docker, Kubeflow, and model deployments workflows. Gained proficiency in NVIDA’s AI framework and tools for training and optimizing deep learning models. Designed and implemented project such as multi-Person face recognition, model training on custom dataset, and document fusion using DRX_ 100 infrastructures.

Python (Programming Language)Deep LearningDockerKubeflow