Raghav Dunga

WORK HISTORY

EDUCATION

ABOUT RAGHAV DUNGA

I’m a graduate AI practitioner with a strong foundation in machine learning, GenAI, NLP, and Python engineering, backed by hands-on research and applied industry experience. I recently completed my MSc in Artificial Intelligence from Queen Mary University of London, where I specialised in multilingual neural machine translation, model fine-tuning, and performance evaluation across large datasets.My core strength lies in research-driven problem solving and root cause analysis. Whether debugging a failing ML pipeline, isolating performance bottlenecks, or designing reproducible experiments, I enjoy breaking problems down systematically and addressing them at their source. This approach has shaped my work across research roles and internships, where I built modular Python systems, optimised ML workloads, and evaluated model reliability using rigorous statistical and benchmarking methods.I work confidently with modern AI tooling—PyTorch, TensorFlow, Transformers, LangChain, vector databases, Docker, and cloud environments—and I prioritise clarity, structure, and maintainability in everything I build. I thrive in environments that value curiosity, analytical thinking, and high ownership.I’m particularly interested in roles where I can combine AI engineering, debugging, testing, and analytical research to deliver robust, meaningful, and scalable solutions.