Professional Overview
I have 2.5 years of hands-on experience building AI and machine learning solutions, with strong exposure to modern AI engineering workflows and production-grade application development. My work has primarily focused on AI-assisted coding workflows, LLM applications, RAG pipelines, FastAPI-based services, and scalable AI system integration.
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.
