I am an accomplished AI NLP Expert with extensive experience in developing and implementing advanced natural language processing techniques. At XTM International, I enhanced segment alignment and data extraction accuracy…
I am an accomplished AI NLP Expert with extensive experience in developing and implementing advanced natural language processing techniques. At XTM International, I enhanced segment alignment and data extraction accuracy using tools like spaCy, Hugging Face, and Keras. At the University of Wolverhampton, I leveraged machine learning methods for text and audio classification, developing custom algorithms and maintaining robust systems in Java. My strong collaborative skills and commitment to innovation enable me to deliver tailored, effective solutions across various projects.
• Led the development of generative AI solutions for language
processing, significantly improving translation accuracy and efficiency.
• Spearheaded collaborative projects with engineering, product, and
data science teams to tailor AI-driven tools, enhancing business
operations and stakeholder decision-making.
• Advanced expertise in model fine-tuning and algorithm optimization to
meet diverse business needs, utilizing Python and machine learning
frameworks.
• Devised and implemented innovative techniques to enhance segment
alignment between source and target languages, resulting in improved
accuracy and efficiency.
• Used Python to implement spaCy, extracting named entities and nontranslatable elements from text data, thereby enhancing the quality
and relevance of extracted information.
• Demonstrated proficiency in utilizing Python to employ various natural
language processing tools and techniques such as Keras and NLTK,
improving alignment and extraction processes.
• Collaborated with cross-functional teams to understand business
requirements and develop customized solutions to meet specific needs.
• Proven ability to leverage natural language processing techniques and
frameworks, including Hugging Face, Gensim, Fasttext, SpaCy, NLTK,
and Keras, to enhance classification accuracy.
<p>Worked with LLMs including T5 and ChatGPT.<br>
Specialised in fine-tuning and optimising these models for specific use cases.<br>
Engaged in projects focused on deep learning methods.<br>
Applied and developed word2vec (w2v) for generating dictionary inputs and synonyms.</p>
<p>Devised and implemented innovative techniques to enhance segment alignment between source and target languages.<br>
Improved accuracy and efficiency.<br>
Used Python to implement spaCy.<br>
Extracted named entities and non-translatable elements from text data.<br>
Enhanced the quality and relevance of extracted information.<br>
Used Python to employ various natural language processing tools.<br>
Implemented NLP libraries such as NLTK to improve text preprocessing.<br>
Collaborated with cross-functional teams to understand business requirements.<br>
Developed customised solutions to meet specific needs.<br>
Leveraged natural language processing techniques and frameworks, including Hugging Face and Gensim.<br>
Delivered a machine learning solution for the detection of inappropriate language in translation.<br>
Pitched the feature during LocWorld’s 13th Process Innovation Challenge.<br>
Won second place.</p>
<p>Employed classification and clustering methods to assess text readability.<br>
Utilised advanced machine learning methods to analyse and detect patterns in spoken corpora.<br>
Led to the automatic classification for audio files.<br>
Successfully implemented and maintained systems using Java.<br>
Processed and categorised large volumes of text.<br>
Customised corpus workbench software for master´s students to investigate verb collocations across various languages.</p>
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