About
Aspiring AI Engineer with hands-on experience in Generative AI, Large Language Models (LLMs), Machine Learning, and MLOps. Skilled in building RAG applications, AI agents, and scalable ML deployment pipelines using Python, LangChain, Docker, Kubernetes, and AWS. Seeking to leverage technical expertise to develop innovative AI-driven solutions and contribute to impactful business outcomes.
Skills & Expertise (28)
Work Experience
LLM Training Intern
Ethara.ai
Feb 2026 - Present
Evaluated Large Language Models (LLMs) to improve response quality, consistency, and factual accuracy. Applied prompt engineering and instruction tuning techniques to optimise AI model behaviour across multiple evaluation tasks. Reviewed AI-generated outputs using structured evaluation methodologies to ensure high-quality responses. Collaborated with AI teams to enhance model performance, reliability, and alignment. Contributed to the continuous improvement of Generative AI systems through systematic model evaluation.
Open Source Contributor
Winter of Code Social 2025
Oct 2025 - Dec 2025
Developed new features and resolved software issues across open-source projects. Collaborated with mentors and distributed development teams using Git and GitHub. Improved code quality through testing, documentation, and peer code reviews.
AI & Software Developer Intern
UniHox Tech
Sep 2025 - Dec 2025
Developed AI-powered applications using Python and modern machine learning technologies. Built end-to-end machine learning workflows covering data preprocessing, model development, testing, and deployment. Assisted in deploying scalable AI applications with a focus on performance, maintainability, and reliability. Collaborated with development teams using Git-based version control and software engineering best practices.
Education
Bachelor of Technology (B.Tech), Artificial Intelligence & Data Science
2022 - 2026 ยท India
Certifications
DevSecOps Course
National Institute of Electronics and Information Technology (NIELIT) ยท 2026
Completed comprehensive training in DevSecOps, covering containerization, cloud infrastructure, CI/CD automation, and secure software development practices. Gained hands-on exposure to Docker, Kubernetes, Linux, AWS, CI/CD pipelines, and core DevSecOps principles, with a focus on automating deployments, managing containers, and integrating security throughout the software development lifecycle.
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Visa Status
Citizen
Relocation
Open to Relocation
Skills (28)
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