Professional Overview
I'm an Engineer with a keen interest in applying mathematical principles and programming skills to solve real-world problems. My skill set spans competitive programming, backend engineering, data science, and mathematical modeling. Additionally, I have hands-on experience with large language models, Retrieval-Augmented Generation (RAG) systems, and the evaluation of these systems. In terms of cloud technologies, I am proficient with AWS, specifically in the area of serverless architecture. I am familiar with Infrastructure as Code (IaC) methodologies and have experience working with both Docker and Kubernetes. I'm always eager to continuously learn and apply these skills in challenging new environments.
Areas of Expertise
computer vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
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.
