Open to opportunities

rahul gajje

@rahulgajje

Message

I build production Generative AI applications, RAG systems, and MLOps pipelines that scale.

United Kingdom

Message

What I'm looking for

I'm seeking challenging full-time AI/ML engineering roles in the UK where I can build scalable Generative AI and NLP solutions, automate model deployment, and work across teams to turn business requirements into production systems.

I've built production Generative AI applications at GenAI Lakes, using GPT-4, Claude, LLaMA, and Mistral for content generation, chatbots, and intelligent automation.

I developed RAG systems with LangChain, Pinecone, and ChromaDB that improved response accuracy by 40%, and fine-tuned BERT and GPT models with LoRA and QLoRA for a 25% improvement over base models. I also built a GenAI chatbot serving 50K+ monthly active users with a 95% satisfaction rate.

I automate the path from model training to deployment with GitHub Actions, Jenkins, Docker, Kubernetes, Terraform, AWS CloudWatch, and MLflow. My CI/CD work reduced deployment time by 60%, while cloud and container optimization reduced infrastructure costs by 35%.

Previously at Amazon Development Centre, I processed 100M+ records for recommendation and search systems, built Python data-validation automation that improved pipeline efficiency by 40%, and maintained 99.5% data quality. I'm looking to bring this hands-on AI, NLP, and production engineering experience to challenging AI/ML roles in the UK.

Experience

Work history, roles, and key accomplishments

NLP Engineer - Generative AI Specialist

GenAI Lakes Pvt Ltd

Jan 2024 - Sep 2025 (1 year 8 months)

Architected and deployed 5+ production-ready Gen AI applications using GPT-4, Claude, and open-source LLMs. Implemented RAG systems with LangChain and vector databases, improving accuracy by 40%. Built CI/CD pipelines and containerized applications with Docker and Kubernetes.

GPT 4 Claude LLaMA Mistral Lang Chain Pinecone ChromaDB QLoRA BERT RAG Prompt Engineering GitHub Actions Jenkins Docker Kubernetes AWS ECS Terraform fastAPI Flask Redis MLFlow Cloudwatch

ML Data Associate

Amazon Development Centre

May 2021 - Nov 2023 (2 years 6 months)

Analyzed and processed large-scale datasets to improve machine learning models for Amazon's recommendation and search systems. Developed Python automation scripts for data validation and preprocessing, improving pipeline efficiency by 40%.

Python Data Validation data preprocessing Feature Engineering EDA Redshift Athena