Professional Overview
I’m looking for a place where curiosity is useful, experimentation is normal, and ideas don’t stay in notebooks forever. I enjoy turning messy real-world problems into systems that actually run. Bonus points if the team debates models over coffee, ships things often, and learns fast. My expertise lies around LLM, RAG, Agentic-AI, Computer Vision, Deep Learning.
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.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
