Professional Overview
Client-facing NLP Engineer with hands-on experience designing, building, and shipping multilingual systems end-to-end. Specializes in evals, machine translation, named entity recognition, and classification. Builds automation workflows, deploys solutions on AWS, and rapidly prototypes. Works personally with tech and linguistic vendors.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Delivered end-to-end multilingual evaluation solutions
- Built AI-powered prototypes and full-stack demos (Python/FastAPI backends, UIs)
- Designed and shipped agentic AI workflows
Key Achievements / KPIs
- Automated comparison of 6 MT engines across 20 lang pairs, 10% cost reduction
- Accelerated outreach from 3 per hour (human) to 50 per hour.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Delivered end-to-end multilingual evaluation solutions
- Built AI-powered prototypes and full-stack demos (Python/FastAPI backends, UIs)
- Designed and shipped agentic AI workflows
Key Achievements / KPIs
- Automated comparison of 6 MT engines across 20 lang pairs, 10% cost reduction
- Accelerated outreach from 3 per hour (human) to 50 per hour.
Education
Field of Study: Big Data, Machine Learning, NLP
Field of Study: Theoretical and Applied Linguistics
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.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.