• Fine-tuned LLMs with Python and PyTorch to support decision-making for sales and legal teams, which fastened contract negotiation processes at 75%.
• Built a SaaS platform for contract negotiation, reducing manual review time by 5-10 hours per contract.
• Talked to clients to identify contract requirements and incorporate their feedback, improving the UX of the platform.

• Designed and impemented a Named Entity Recognition (NER) system, achieving 75% of F-measure in a zero-shot setting.
• Conducted research on Language Model fine-tuning for missing word completion, achieving a 5% improvement in accuracy.
• Published 2 papers at international AI conferences.
• Collaborated with cross-functional teams of biologists and epidemiologists to integrate AI solutions for plant health monitoring initiatives

• Made a research on Machine Learning metrics using Python revealing 33% of inconsistencies comparing to human assessment.
• Developed an algorithm with Python to identify unreliable annotators, resulting in an 8% improvement of annotation quality.
• Led the recruitment and managed a team of 12 volunteers to annotate a dataset.
• Published findings in a research paper, presented during the ACL conference.