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I am a results-focused AI/ML engineer with hands-on experience designing and deploying scalable machine learning systems. My work spans end-to-end LLM-enabled agents, structured extraction across large document collections, and building resilient model backends and training pipelines. Currently based in London on a Graduate Visa until February 2027, I enjoy tackling challenging problems at the intersection of research and software engineering, from research prototyping to production-grade deployment on AWS, Docker, and Kubernetes. I am open to roles in AI research, data science, or full-stack AI software development.…I am a results-focused AI/ML engineer with hands-on experience designing and deploying scalable machine learning systems. My work spans end-to-end LLM-enabled agents, structured extraction across large document collections, and building resilient model backends and training pipelines. Currently based in London on a Graduate Visa until February 2027, I enjoy tackling challenging problems at the intersection of research and software engineering, from research prototyping to production-grade deployment on AWS, Docker, and Kubernetes. I am open to roles in AI research, data science, or full-stack AI software development.

Ram Swarup Arunkumar

AI Engineer, Data Scientist, Full Stack Developer, +2

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I am a results-focused AI/ML engineer with hands-on experience designing and deploying scalable machine learning systems. My work spans end-to-end LLM-enabled agents, structured extraction across large document collections, and building resilient model backends and training pipelines. Currently based in London on a Graduate Visa until February 2027, I enjoy tackling challenging problems at the intersection of research and software engineering, from research prototyping to production-grade deployment on AWS, Docker, and Kubernetes. I am open to roles in AI research, data science, or full-stack AI software development.…I am a results-focused AI/ML engineer with hands-on experience designing and deploying scalable machine learning systems. My work spans end-to-end LLM-enabled agents, structured extraction across large document collections, and building resilient model backends and training pipelines. Currently based in London on a Graduate Visa until February 2027, I enjoy tackling challenging problems at the intersection of research and software engineering, from research prototyping to production-grade deployment on AWS, Docker, and Kubernetes. I am open to roles in AI research, data science, or full-stack AI software development.

Available to hire

I am a results-focused AI/ML engineer with hands-on experience designing and deploying scalable machine learning systems. My work spans end-to-end LLM-enabled agents, structured extraction across large document collections, and building resilient model backends and training pipelines.
Currently based in London on a Graduate Visa until February 2027, I enjoy tackling challenging problems at the intersection of research and software engineering, from research prototyping to production-grade deployment on AWS, Docker, and Kubernetes. I am open to roles in AI research, data science, or full-stack AI software development.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI Research Engineer at Toshiba Research Europe Ltd

January 1, 2024 - Present

Designed and deployed LLM-powered agent systems end-to-end for structured extraction and tool-based reasoning across 100k+ proprietary documents, reducing manual review time by 45%. Built MCP-style server–client orchestration with schema validation and sandboxed tool execution, cutting unsafe tool calls by 60% during internal testing. Engineered ML backend with Docker + FastAPI, containerised GPU workloads, and deployed scalable inference endpoints on AWS EC2 with sub-100ms latency. Automated CI/CD for model lifecycle using GitHub Actions, enabling continuous retraining and rollout of updated checkpoints. Fine-tuned BERT, RoBERTa, and LLaMA using LoRA adapters on domain corpora, increasing factual accuracy by 6–9% and reducing hallucinations by 30%.

Machine Learning Intern at Etrics Engineers

April 1, 2023 - August 1, 2023

Built NLP pipeline to classify 50k+ customer reviews into sentiment categories with a 92% F1 score using a fine-tuned BERT model. Applied data cleaning and preprocessing to improve convergence speed by 25%. Deployed via AWS Lambda, scaling to 10k daily queries, supported by a CI/CD pipeline for retraining and redeployment.

Software Engineer Intern at Cloute Technologies

October 1, 2022 - March 1, 2023

Designed a real-time data monitoring platform (React.js, Node.js, MongoDB) to improve operational efficiency by 30%. Built and optimized REST APIs in Express.js, reducing server response time by 40%. Implemented secure authentication (JWT/OAuth), enhancing compliance and platform reliability.