Harsh Gajraj

Software Engineer

Delhi, India1 yr 8 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in Java and Mobile Application Development.
Proficient in Machine Learning and AI technologies.
Strong experience in Agile methodologies and team collaboration.

Stackforce AI infers this person is a Software Development and Data Science professional with expertise in AI and Mobile Applications.

Contact

Skills

Core Skills

JavaAgile MethodologiesGenerative Ai For Performance ManagementDockerArtificial Intelligence (ai)Machine LearningPython (programming Language)Data ScienceMobile Application Development

Other Skills

AWS SageMakerAnacondaCucumberJenkinsJiraKotlinKubernetesLangChainLarge Language Models (LLM)Neural NetworksObject-Oriented Programming (OOP)Postman APIPycharmREST APIsSQL

Experience

Cognizant

2 roles

Software Engineer in Test

Sep 2025 – Present · 7 mos

JavaSQLJiraPostman APIdockerJenkins+4

Software Engineer in Test

Apr 2025 – Sep 2025 · 5 mos

Developed automation scripts using Java to enhance website functionality and performance.
Utilized Docker and Kubernetes for efficient deployment and management of applications.
Implemented Generative AI techniques to optimize processes, resulting in improved system efficiency.

dockerKubernetesJavaGenerative AI for Performance ManagementAgile MethodologiesSelenium+2

Vertexplus

Machine Learning Intern

Feb 2025 – May 2025 · 3 mos · India · Hybrid

Developed an AI-driven platform integrating Langchain, Ollama, and Phidata for advanced automotive data analysis.
Collaborated with cross-functional teams to enhance MotorDNA Intelligence, delivering personalized vehicle recommendations.
Utilized Python programming and AI frameworks to streamline workflows, improving data processing efficiency by 25%.

Artificial Intelligence (AI)Machine LearningLarge Language Models (LLM)LangChainAnacondaPython (Programming Language)+1

Siemens energy

Data Scientist

Aug 2024 – Sep 2024 · 1 mo · Gurugram, Haryana, India · On-site

Developed and optimized machine learning models utilizing Large Language Models (LLMs) to enhance predictive accuracy.
Implemented advanced techniques such as XGBoost and AdaBoost, significantly improving model performance.
Collaborated with cross-functional teams to integrate neural networks into existing systems, driving innovation at Siemens Energy.

Data ScienceAWS SageMakerLarge Language Models (LLM)Neural NetworksAgile MethodologiesScikit-Learn+3

Spa systems private limited

Android Developer

Jun 2024 – Jul 2024 · 1 mo · Ghaziabad, Uttar Pradesh, India · Hybrid

Role: Android Development Intern
Company: SPA Systems Private Limited
Duration: June 2024 – July 2024
Description:
Contributed to the development of the "Lucky Dollar Application," focusing on feature development, bug resolution, and enhancing the user interface (UI).
Utilized Java, Kotlin, and XML to build efficient and responsive Android features, improving the overall app performance and user experience.
Collaborated with the team to troubleshoot and resolve bugs, ensuring smooth app functionality and timely releases.
Enhanced the UI/UX by making design improvements that aligned with user needs and application requirements.
Gained valuable experience in the software development lifecycle, agile methodologies, and mobile app development best practices.
Recognized for my dedication, enthusiasm, and strong work ethic, contributing to a positive team environment and successful project outcomes.
Key Skills:
Languages: Java, Kotlin
Android Development: UI/UX design, feature development, bug fixing
Tools: Android Studio, Git

Mobile Application DevelopmentJavaKotlinXML

Computer society of india

Member

Apr 2022 – Dec 2022 · 8 mos · India

Iosd mait

Member

Apr 2022 – Jul 2022 · 3 mos · India · On-site

Collaborated with a diverse team to manage and execute tech events, enhancing organizational skills.
Conducted coding events that fostered a culture of learning and innovation among participants.
Developed project management skills through hands-on experience in group projects, leading to successful event outcomes.