Professional Overview
I am an AI Engineer with hands-on experience building production-grade Generative AI systems and multi-agent architectures. Over the past year, I’ve re-architected LLM-based workflows, reducing proposal generation time by 95% and implementing agentic RAG pipelines that significantly cut hallucinations while ensuring high human-alignment. My expertise spans AI agents, prompt engineering, retrieval-augmented generation, and deploying scalable solutions on cloud platforms like GCP, complemented by backend and MLOps skills including FastAPI, LangChain, and vector databases. I thrive at the intersection of research and application, transforming complex AI models into reliable, cost-efficient, real-world solutions. Passionate about innovation, I combine technical depth with a results-driven mindset, delivering impactful AI products that accelerate business outcomes. Employers should consider me for my ability to translate cutting-edge AI technology into tangible, high-performing solutions.
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.
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.