Professional Overview
I’m a research-driven engineer passionate about advancing the frontiers of AI through practical innovation. My interests include multimodal learning, diffusion models, and reinforcement learning, and I’ve worked on projects involving vision-language understanding and generative modeling. I’m motivated by the challenge of transforming novel AI ideas into scalable, real-world systems.
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.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
