Rajat Gupta
Research ML Engineer
Building ML systems for billion-event datasets, real-time decision systems and efficient AI inference.
Building ML systems for billion-event datasets, real-time decision systems and efficient AI inference.
Selected work in large-scale ML, generative AI and efficient model deployment.
Queries GPT-4o and Gemini through APIs and measures how brands appear in AI-generated answers.
Unsupervised anomaly detection on more than one billion events, deployed for continuous use under strict latency limits.
Converted a 2.08-billion-parameter ternary transformer into lookup-table operations for efficient FPGA inference.
Combined model distillation with specialised hardware to achieve 12× compression and 24 ns inference latency.
Benchmarked 17 optimisation configurations and reduced image-generation latency from 5.72 to 0.876 seconds.
An LLM assistant that answers questions using deterministic analysis of more than one million structured records.
Distilled YOLOv8s into a 6.2 MB model that improved mAP50 by 46% over the baseline student and ran 1.8× faster than the teacher.
An end-to-end Isolation Forest pipeline with experiment tracking, scheduled workflows, API inference and drift monitoring.
End-to-end PD/LGD modelling, behavioural segmentation, anomaly detection and FastAPI deployment.
I am a Research ML Engineer with a PhD and more than four years of experience building ML systems for large, high-rate datasets. At CERN, I developed anomaly-detection and data-compression models that run under strict latency and computing limits.
I have worked across the full model lifecycle: preparing data, training and validating models, comparing different approaches, and moving successful methods into continuous use. My work includes unsupervised learning, variational autoencoders, boosted trees, model distillation and hardware-aware optimisation.
More recently, I have built generative-AI applications that query and evaluate LLMs through APIs, use RAG and embeddings, and combine model outputs with verifiable Python and SQL analysis. I am interested in Research ML Engineer, Applied Scientist and ML Engineer roles.
University of Birmingham and CERN
University of Pittsburgh and CERN
CERN and Panjab University
Have a question or want to work together? Feel free to reach out!
Birmingham, United Kingdom