Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I'm Eduardo Galuppi, a Computational Linguist with a strong background in NLP, currently working as a Computational Linguist at Cognizant in Dublin. I specialize in developing NLP systems and enhancing AI functionalities, with hands-on experience in machine learning classification and textual data analysis, including prompting, grammar development, and multimodal reasoning. Previously I boosted model accuracy by 26% using SVM and Naive Bayes, and I'm eager to apply my AI development skills to drive innovative solutions.…I'm Eduardo Galuppi, a Computational Linguist with a strong background in NLP, currently working as a Computational Linguist at Cognizant in Dublin. I specialize in developing NLP systems and enhancing AI functionalities, with hands-on experience in machine learning classification and textual data analysis, including prompting, grammar development, and multimodal reasoning. Previously I boosted model accuracy by 26% using SVM and Naive Bayes, and I'm eager to apply my AI development skills to drive innovative solutions.

Eduardo Galuppi

Data Scientist, AI Engineer, Full Stack Developer, +6





I'm Eduardo Galuppi, a Computational Linguist with a strong background in NLP, currently working as a Computational Linguist at Cognizant in Dublin. I specialize in developing NLP systems and enhancing AI functionalities, with hands-on experience in machine learning classification and textual data analysis, including prompting, grammar development, and multimodal reasoning. Previously I boosted model accuracy by 26% using SVM and Naive Bayes, and I'm eager to apply my AI development skills to drive innovative solutions.…I'm Eduardo Galuppi, a Computational Linguist with a strong background in NLP, currently working as a Computational Linguist at Cognizant in Dublin. I specialize in developing NLP systems and enhancing AI functionalities, with hands-on experience in machine learning classification and textual data analysis, including prompting, grammar development, and multimodal reasoning. Previously I boosted model accuracy by 26% using SVM and Naive Bayes, and I'm eager to apply my AI development skills to drive innovative solutions.

Available to hire

I’m Eduardo Galuppi, a Computational Linguist with a strong background in NLP, currently working as a Computational Linguist at Cognizant in Dublin. I specialize in developing NLP systems and enhancing AI functionalities, with hands-on experience in machine learning classification and textual data analysis, including prompting, grammar development, and multimodal reasoning.

Previously I boosted model accuracy by 26% using SVM and Naive Bayes, and I’m eager to apply my AI development skills to drive innovative solutions.

Skills

Data Visualization

Github

Prompt Engineering

Experience Level

Data Visualization

Expert

Github

Expert

Prompt Engineering

Expert

Language

Spanish; Castilian

Fluent

Italian

Fluent

English

Advanced

Work Experience

Computational Linguist at Google Via Cognizant

November 1, 2021 - Present

Enhanced Gemini's performance through research on prompt formulation and fine-tuning techniques based on computational linguistic analysis; designed and implemented effective prompting strategies in Google AI Studio using sampling methods to boost models' creativity and performance; conducted QA-focused SxS comparison analyses for prompt/response evaluation to ensure high-quality language model outputs; created culturally grounded video-based QA datasets and applied prompt engineering strategies to test multimodal reasoning in Gemini; evaluated and fixed grammar issues in Google Assistant to improve user comprehension; contributed to grammar development and NLP data for Google Assistant; developed code for Natural Language Generation, Natural Language Understanding, and Neural Semantic parsing; updated and distributed annotation guidelines to ensure consistency; monitored data acquisition/curation and identified annotation gaps to improve data quality using NLTK and data visualization;

NLP Engineer Student at Sony R&D Labs

November 1, 2021 - October 23, 2025

Enhanced Sony NLP toolkit by writing new code and modifying existing code, explored NLP literature to identify innovative techniques, labeled linguistic data to improve NER model accuracy, utilized PERL and regex101 to streamline data extraction processes, extracted substantial information from Sony Japan corpora for data analysis and visualization, and used REGEX to extract target labels, improving data accuracy for subsequent analysis.

Computational Linguist at Google Via Cognizant

November 1, 2021 - Present

Enhanced Gemini's performance through research on prompt formulation and fine-tuning techniques based on computational linguistic analysis; designed and implemented prompting strategies in Google AI Studio; executed QA-focused SxS comparison analysis for prompt/response evaluation; created culturally grounded video-based QA datasets and applied prompt engineering strategies to test multimodal reasoning in Gemini; evaluated and fixed grammar issues in Google Assistant; contributed to grammar development for Google Assistant; developed NLG, NLU, and Neural Semantic parsing code; updated annotation guidelines; monitored data acquisition/curation and identified annotation gaps; collaborated with data scientists to maintain NLP models; delivered user training and centralized language-specific information; trained new joiners on GenAI, NLU, and NLG projects; directed workshops on Prompt Engineering.

NLP Engineer Student at Sony R&D Labs

November 1, 2021 - October 23, 2025

Enhanced Sony NLP toolkit by writing/modifying code; explored NLP literature for innovative techniques; labeled linguistic data to improve NER model accuracy; utilized PERL and REGEX to streamline data extraction; extracted large amounts of information from Sony Japan corpora and performed data analysis/visualization.