Linguistic Engineer (LLM Ops) at TEK Systems (for Meta)

Developed end-to-end AI agents to handle various tasks; Tweaked pretrained LLMs with fine-tuning, dataset patching, and prompting for English and multilingual voice assistants; Implemented data preprocessing and augmentation pipelines for fine-tuning and performance benchmarking; Deployed fully automated evaluation & regulation system ensuring factuality and contextual accuracy of model outputs.

Data Annotation & Analysis at DeepL

Rated and ranked model outputs to improve translation quality and chatbot response accuracy; Annotated and corrected multilingual data for training translation and grammar correction LLMs; Performed data integrity and error analysis using Excel and Python for data QA pipelines; Provided insights into linguistic phenomena influencing cross-lingual translation models.

Conversational AI & NLP Engineer at GetIt AI

Built end-to-end AI agent stacks using API-based LLMs; Designed brand-specific RAG (Retrieval-Augmented Generation) pipelines using web scraping and encoder models for chatbot deployment; Created multi-turn conversation architectures and intent-detection models with Python and Hugging Face Transformers; Tested and optimized LLM-driven sales and customer engagement agents for response coherence and brand alignment.