Professional Overview
Last-year PhD candidate in Natural Language Processing (NLP) seeking a switch to the industry as AI engineer. I have a strong background on LLMs, Machine Learning and knowledge representations, and have built language technology solutions in both academic and industry settings (Ed-tech sector) using LLMs fine-tuning, RAG, and prompt-engineering.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Carry out experiments with LLMs
- Test theories of human cognition using simulation models
- Write and publish papers reporting experiments and results
- Collaborate with other researchers
Key Achievements / KPIs
- Improved models of reading comprehension using LLMs, RAG, prompt-engineering
- Published at top journals and ACL anthology
- Presented at several NLP conferences and workshops
- Successfully supervised Bachelor's and Master's theses.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Build models for information retrieval and ontology mapping
- Data monitoring, scraping, and indexing
Key Achievements / KPIs
- Improved information retrieval system in 100% recall@5 by fine-tuning LLMs
- Optimized data monitoring using Kibana dashboards in Elastic Search
- Debugged data scraping and indexing using SQL, Postman API, Xpath and Regex
Education
Field of Study: Natural Language Processing
Field of Study: Linguistics, AI
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
