Kota, Rajasthan, India
Exploring language through the intersection of linguistics and AI, with a focus on semantics, pragmatics, NLP, prompt engineering, and computational linguistics.
Led end-to-end delivery of major projects related to data creation, data annotation used for building LLM and Conversation AI models and evaluating the outputs of these models. Worked on creating synthetic data and ground truth for building Agentic AI models, and extracting the synthetic data using programming language and prompt. Worked on prompt designing to be used for generating summarized outputs in a model.
1. Create and execute algorithms and methodologies aimed at enhancing language generation and elevating linguistic quality. 2. Utilized Python to optimize linguists workflows and enhance TTS, ASR and Phonemizer models and data creation. 3. Conducted Phonemic and IPA mapping of Devanagari words, ensuring accurate language representation. 4. Develop and deploy conversational chatbots by building training data, FAQs, and dataset, while continually optimizing them to achieve over 90% accuracy. 5. Collaborated closely with the engineering team to create a comprehensive database to enhance the linguistic capabilities of the model. 6. Curated labels to train large language models (LLM), enhancing the model’s conversational capabilities. 7. Proficiently worked with MS Azure and Google TTS to verify audio prompts, ensuring high-quality output. 8. Created a lexicon of words with Indian pronunciations, enriching the performance of language model’s capabilities. 9. Leveraged Rasa for NER tagging, improving named entity recognition and language understanding. 10. Collaborated with conversational designers to build and refine the bot’s conversational flow. 11. Worked on localizing the utterances in Hindi.
writing on various topics related to the subject of linguistics