Neeraj Kushwah

Advanced prompt engineering and response evaluation for fine-tuning large language models (LLMs), focusing on improving contextual understanding, reasoning, and task-specific performance.

Trained and evaluated large language models across multiple languages, ensuring culturally and contextually accurate responses in diverse linguistic settings. Curated and annotated multilingual datasets to improve language coverage, translation accuracy, and semantic understanding in non-English queries.

Trained and fine-tuned large language models (LLMs) by curating high-quality prompts and responses to enhance model accuracy, coherence, and multilingual capabilities. Evaluated and optimized AI-generated outputs by analysing relevance, tone, and factual correctness to ensure alignment with project requirements.

Designed and tested prompts, analyzed model responses, and selected the most accurate outputs, resulting in 85% accuracy and relevance. Assessed model outputs, identified inconsistencies, and provided feedback, improving response quality by 30%.

Grade: 7.8/10.0

Pursuing advanced studies in applied science, building upon foundational knowledge to specialize in complex areas. Developing expertise in research methodologies and advanced analytical techniques.

Grade: 69.4%

Completed Class XII education, focusing on core subjects and preparing for higher education. Achieved a strong academic performance, demonstrating foundational knowledge and analytical skills.

Grade: 64.6%

Completed Class X education, establishing a strong academic foundation across various subjects. Developed essential learning skills and prepared for advanced studies.

Grade: 8.5/10.0

Activities and societies: As a mentor for Competitive Programming (CP) at the STIC Club of Medi-Caps University, I guided students in mastering problem-solving techniques, algorithms, and data structures, preparing them for coding competitions and industry applications.

Focused on Artificial Intelligence, gaining expertise in machine learning, data analytics, and AI-driven applications. Developed proficiency in Python, SQL, and Power BI, preparing for roles in AI engineering and data science.