Founded & Led by Rimjhim (Rémy) Singh

AI/ML Engineer | Innovation Explorer | Technical Architect

Welcome to RIMJHIM AI KINGDOM

An AI innovation hub where artificial intelligence meets creative exploration. Founded by me, Rimjhim (Rémy) Singh, an AI Engineer with 5+ years of experience, the Kingdom serves as a laboratory for bold AI/ML experimentation, transforming conceptual prototypes into real-world solutions. I am also the solo developer of this website.

From neural networks to natural language processing, from LLM optimization to enterprise AI agents, each project is crafted with precision, passion, and purpose. Here, curiosity drives innovation, and impactful AI emerges from vision and determination, not just vast resources.

The Kingdom Manifesto:

  • Solo innovation with global impact
  • Learning through building
  • Concepts → Prototypes → Solutions
  • Continuous exploration & refinement
  • Non-commercial, purely driven by passion

Based in the United Kingdom | Open to collaboration & consultation

Meet the Founder

Rimjhim Singh - AI Engineer

Rimjhim (Rémy) Singh

AI/ML Engineer | Technical Product Architect

I am an AI Engineer with 5+ years of global experience architecting intelligent systems across the UK, Australia, Asia, and North America. I specialise in LLM automation, AI agents, NLP, and scalable ML pipelines, turning complex challenges into production-ready solutions.

I hold an MSc in Beh. & Data Science from the University of Warwick (Russell Group) and a Master's in Economics. My work has delivered measurable impact including 95%+ workflow acceleration, 60%+ productivity improvements, and 98% faster document analysis for enterprise teams.

I have worked as an AI Engineer for a London-based startup, as an AI Prompt Engineer, Machine Learning Engineer, and Assistant Professor of Quantitative Economics. My portfolio includes enterprise AI agents, RAG systems, RLHF workflows, predictive models, automation tools, and full product lifecycles from concept to deployment.

I have presented research at Mansfield College, Oxford, where my paper was later published by Brill. I am also the author of Puzzles of Labour Economics (2022) and have published research across labour economics, environmental policy, industrial organisation, and ML-driven analysis.

Core Expertise:

  • AI/ML Engineering: TensorFlow, PyTorch, Scikit-learn, Deep Learning
  • LLM & GenAI: RAG pipelines, Prompt Engineering, Fine-tuning, AI Agents
  • MLOps & Cloud: AWS, Docker, Kubernetes, CI/CD, Production Deployment
  • Data Engineering: SQL, Vector Databases, Real-time Analytics
  • Product Strategy: End-to-end product lifecycle from requirements to release

"AI isn't just about algorithms. It's about impact. Every solution should solve a real problem, deliver measurable value, and unlock new possibilities."

Currently based in London and building RIMJHIM AI Kingdom as a space for innovation, experimentation, and technical excellence.

Impact Delivered

95% Time Reduction

Optimized LLM workflows, cutting transcript analysis from 2.5 hours to under 5 minutes

60%+ Efficiency Gains

Delivered scalable AI solutions with measurable business impact

98% Faster Analysis

Accelerated document analytics through hybrid ML + LLM approaches

120+ Professionals Coached

Trained cross-functional teams in AI workflows, prompt engineering, and GenAI adoption

Enterprise Architecture

End-to-end AI systems from concept to production deployment

Projects & Code

Explore my GitHub repositories, contributions, and open-source work

GitHub Profile

View Full Profile
AI/ML Projects

Featured Projects:

  • AI/ML implementations and experiments
  • LLM optimization workflows
  • Prompt Engineering resources
  • Data Science notebooks and pipelines
  • Automation tools and utilities

Online Articles

Insights on AI engineering, system design, and best practices

Designing Reliable AI Systems

Designing Reliable AI Systems Article Read on Medium

Why Your AI Project Failed

Why Your AI Project Failed Article Read on Medium

Prompt Engineering Guide

Comprehensive guide to effective prompt engineering techniques

Complete Prompt Engineering Guide

A detailed resource covering best practices, patterns, and strategies for working with LLMs

Topics Covered:

  • Fundamentals of prompt engineering
  • Advanced prompting techniques
  • Chain-of-thought reasoning
  • Few-shot learning strategies
  • Prompt optimization methods
  • Real-world use cases and examples

Technical Expertise

AI/ML Engineering

TensorFlow, PyTorch, Scikit-learn, Deep Learning, Neural Networks, Computer Vision, NLP, Time Series Analysis

LLM & GenAI

RAG Pipelines, Vector Databases, Prompt Engineering, Fine-tuning, AI Agents, OpenAI API, Anthropic Claude, LangChain

MLOps & Cloud

AWS (SageMaker, Lambda, S3), Docker, Kubernetes, CI/CD, Model Deployment, Monitoring, Scaling

Data Engineering

SQL, PostgreSQL, MongoDB, Vector Databases (Pinecone, Weaviate), ETL Pipelines, Real-time Analytics

Programming

Python, R, JavaScript, SQL, Git, APIs, FastAPI, Flask, Streamlit

Analytics & Visualization

Pandas, NumPy, Matplotlib, Seaborn, Power BI, Tableau, Statistical Modeling

Academic Background

MSc Beh. & Data Science

University of Warwick, UK | 2023-2024

Merit (2:1) | Russell Group University, QS Top-10 UK

Specialization: Deep Learning, ML Algorithms, Data Mining

Master's in Quantitative Economics

Ambedkar University Delhi, India

Bachelor's in Economics (Quantitative & Applied Mathematics)

Ramjas College, University of Delhi, India

Distinction, Rank 1

Licenses & Certifications

CLOUD & INFRASTRUCTURE

  • Amazon Web Services (AWS) Cloud Practitioner Essentials
    Amazon Web Services (AWS) | Issued Sep 2025
    Skills: Cloud Computing, Amazon Web Services (AWS)
  • Cloud ML Engineering & MLOps
    Duke University, USA
    Skills: MLOps, Cloud Deployment, Model Training

AI & DATA SCIENCE

  • Programming with Generative AI
    IIT Guwahati, India
    Skills: Generative AI, LLM Development, Prompt Engineering
  • Power BI Data Analyst Prep
    Coursera | Issued Mar 2025 | Credential ID: KI51RF7WRV0S
    Skills: Microsoft Power BI, Data Visualization, Business Intelligence
  • SQL for Data Science
    UC Davis, USA
    Skills: SQL, Database Management, Data Analytics
  • Intermediate Python
    DataCamp | Issued Jan 2023
    Skills: Python Programming, Data Structures
  • Introduction to Python
    DataCamp | Issued Jan 2023
    Skills: Python Fundamentals, Programming

PROJECT MANAGEMENT & AGILE

  • Cert Prep: Scrum Master
    LinkedIn | Issued Jan 2025
    Skills: Scrum, Agile Methodology, Project Management
  • Software Development Processes
    University of Minnesota, USA
    Skills: SDLC, Development Best Practices

BUSINESS & ECONOMICS

  • AP® Microeconomics
    Massachusetts Institute of Technology | edX | Issued Jan 2023
  • Bootcamp0: You can Innovate - User Innovation & Entrepreneurship
    Massachusetts Institute of Technology | edX | Issued Jan 2023
  • Fundamentals of Market Structure
    New York Institute of Finance | edX | Issued Jan 2023

ACADEMIC QUALIFICATIONS

  • UGC National Eligibility Test (NET) for Assistant Professor
    University Grants Commission (UGC), India
    Qualification for university-level teaching in India

Get in Touch

Interested in collaboration, consultation, or discussing AI innovation?

Location: London, United Kingdom