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Rahul B.

Rahul B.

Deep Learning · Mid-level

Available profile

Professional Overview

Masters’ graduate with a proven track record in computer vision, natural language processing, computational photography, and deep learning research. Possessing strong coding experience in Python, TensorFlow, and PyTorch. I hold an MSc in Artificial Intelligence from the University of Aberdeen, where I completed my dissertation under the guidance of Dr. Arabella Sinclair, developing a creative writing collaborationtool using large language models. I earned my B-Tech in Engineering Physics from the Indian Institute of Technology, Madras. During my academic journey, I served as a Research Fellow under Dr. CV Jawahar(IIIT Hyderabad) and Dr. Vineeth Balasubramanian (IIT Hyderabad). I then transitioned into a Machine Learning Scientist role at Agara, a start-up dedicated to enhancing customer service experiences using NLP and audio processing through deep learning. Subsequently, I worked as a Project Assistant at the Video Analytics Lab, IISc Bangalore, under the guidance of Dr. Venkatesh Babu, focusing on the optimization landscape of Generative Adversarial Networks (GANs). After completing my MSc in AI, I joined the University of Aberdeen as a Research Assistant under the supervision of Dr. Yaji Sripada and Dr. Andrew Starkey. In addition to my research pursuits, I also serve as an AI Consultant at Salus Technical, where I am responsible for developing a Hazop Copilot SAAS product.

Areas of Expertise

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.

MLOps & AI Infrastructure

Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.

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