Professional Overview
AI Engineer specializing in building end-to-end production AI systems powered by LLMs and machine learning. Experienced in designing conversational AI, RAG pipelines, and intelligent automation platforms exposed through REST APIs. Strong background in Python, FastAPI/ Flask, cloud deployment (Azure/ GCP), and MLOps practices.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built and shipped AI-powered features used by internal business teams in product
- Designed and deployed LLM-powered enterprise systems, including an AI Helpdesk
- Built a CV scoring platform using GPT-based evaluation with weighted ranking
- Developed OCR pipelines using Azure Document Intelligence and integrated results
- Automated finance workflows using n8n and GPT for invoice validation.
Education
Field of Study: Machine Learning, AI
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
