Headline

LLM Intern | Machine Learning | Generative AI | NLP | Python | AI & Robotics Undergraduate @ USAR

About

💡 About Me I am an AI & Robotics undergraduate at USAR, GGSIPU with a strong interest in Machine Learning, Generative AI, NLP, and Large Language Models. Recently, I completed an LLM Post-Training Internship where I worked on model evaluation, prompt testing, AI data annotation, and quality assessment workflows. This experience gave me hands-on exposure to real-world AI systems and helped me understand how modern LLMs are evaluated and improved. I enjoy building projects in Machine Learning, NLP, and Generative AI, and I'm always looking for opportunities to learn, build, and solve real-world problems through technology. Technical Skills: • Python • SQL • Machine Learning • NLP • Generative AI • Prompt Engineering • Pandas & NumPy • Scikit-Learn • LLM Evaluation Currently exploring Deep Learning, RAG systems, and advanced AI applications while seeking opportunities to contribute to impactful AI/ML projects. 📌 Interests: Machine Learning | Generative AI | NLP | LLMs | Data Science

Location

Delhi

Work experience

llm post training intern at Ethara AI, Mar 2026 - Present · 4 mos, India, Evaluated Large Language Model (LLM) responses for accuracy, relevance, consistency, and safety. Conducted prompt testing and response analysis across diverse use cases. Performed AI data annotation and quality review to support model improvement workflows. Collaborated with Quality Leads on structured evaluation and feedback processes. Contributed to post-training evaluation tasks while maintaining quality and delivery standards.

Training Specialist at Ethara AI, Mar 2026 - May 2026 · 3 mos, Executed structured LLM response evaluation across factual accuracy, safety, relevance, and coherence dimensions, contributing to model quality improvement pipelines. Designed and ran systematic prompt-testing workflows across diverse task categories, identifying failure patterns and surfacing model behaviour insights for Quality Leads. Performed high-quality AI data annotation and quality review, ensuring labelled datasets met consistency and precision standards required for post-training fine-tuning. Collaborated cross-functionally with Quality Leads to iterate on evaluation rubrics, directly improving model output reliability and response calibration. Operated within structured project delivery timelines, maintaining throughput and annotation accuracy across multiple concurrent evaluation tasks.

Education

Bachelor of Technology - BTech, Automation and robotics, Guru Gobind Singh Indraprastha University (GGSIPU), Delhi

Bachelor of Technology, Artificial Intelligence, University School of Automation and Robotics (USAR)