Machine Learning Engineer

Karanpreet
Singh

@NinjaOfNeurons · Delhi, India & Ohio, USA

Building AI systems at the edge of production. MSc AI graduate specializing in Stable Diffusion, Reinforcement Learning, and Bitcoin infrastructure. Research → Production at VectorEdge.

RAG Systems Agentic AI Stable Diffusion RL Bitcoin Edge Intelligence

View Projects → GitHub ↗

karanpreet.json

{
  "name": "Karanpreet Singh",
  "role": "ML Engineer @ VectorEdge",
  "research": "IIC",
  "focus": [
    "RAG",
    "Stable Diffusion",
    "Reinforcement Learning",
    "Bitcoin Systems"
  ],
  "2026_vision": "AI × Security × Edge"
}

# Research → Production
$ ./build production_ai

About

Research meets
Production

I'm a Machine Learning Engineer working at the intersection of research and production AI systems. Currently at VectorEdge and conducting research at IIC, I focus on building robust, edge-deployed intelligence.

My work spans RAG pipelines, autonomous agentic systems, stable diffusion models, and decentralized Bitcoin infrastructure. I believe in transforming cutting-edge ideas into systems that scale.

MSc AI graduate, hackathon winner (AIOSP 2022), and Google Scholar author — I explore the full stack from algorithm to deployment.

LinkedIn ↗ Scholar ↗

11

Repositories

MSc

AI Graduate

2

Countries

1st

AIOSP 2022

Tech Stack

Tools & Technologies

Languages

Python

C++

C

SQL

AI / ML

PyTorch

TensorFlow

Scikit-Learn

OpenCV

Pandas

DevOps / Cloud

Docker

Kubernetes

AWS

GCP

Jenkins

GitHub Actions

Prometheus

Grafana

Linux

Git

Frameworks & APIs

Flask

Django

FastAPI

Gradio

Android

Arduino

RAG & Vector Intelligence

LangChain

LangGraph

LlamaIndex

ChromaDB

FAISS

RAG

Semantic Search

Vector DB

HNSW

Projects

Featured Work

Python-based web app to visualize how large language models tokenize text in the browser. Helps understand prompt construction and token boundaries.

Innovative AI-powered home security system that monitors environments and provides timely alerts using computer vision and ML-driven detection.

1st place AIOSP 2022 Hackathon solution using AI/ML-driven approaches to solve two real-world problem statements.

Jupyter Notebook

ML/AI Engineer Journey

Documented journey and notebooks covering the progression from ML fundamentals to advanced AI engineering concepts and production systems.

Jupyter Notebook

Command-line RAG application for intelligent retrieval. Bringing Retrieval-Augmented Generation to the terminal for fast, local knowledge access.

Python · Building

Autonomous agents and tool-using AI systems research lab. Exploring the frontier of agentic behavior and multi-step reasoning in production.

Python · Building

2026 Vision

What's Next

Done

TokenLens + HomeGuardAI

Production-ready AI tools shipped to GitHub. LLM tokenization visualizer and computer vision home security system.

Building

cli-rag-app / agentic-ai-lab

Command-line RAG for intelligent retrieval and an autonomous agents & tool-using AI systems laboratory.

Upcoming

RAG Insider Risk Intelligence

A RAG pipeline tailored for insider risk detection — combining NLP, security data streams, and anomaly detection at scale.

Upcoming

Model Health Dashboard

AI model drift and reliability monitoring system — real-time observability for production ML systems.

Frontier

AI × Security × Bitcoin Infrastructure

Exploring the intersection of edge intelligence, AI security systems, and decentralized Bitcoin infrastructure. Deep dive incoming.

Verified Credentials

Certifications

Coursera · Credly Verified

Advanced RAG with Vector Databases and Retrievers

Issued Mar 2026

AI Agents Badge

Coursera · Credly Verified

Fundamentals of Building AI Agents

Issued Mar 2026

🗄️

IBM

Advanced RAG with Vector Databases and Retrievers

Issued Mar 2026 · ID: FFCA3NDCISYK

🔍

IBM

Vector Databases for RAG: An Introduction

Issued Mar 2026 · ID: 75P78P6JEA6K

⚙️

KodeKloud

Kubernetes Crash Course

Issued Mar 2026 · ID: e6f1807e-4647

🧠

IBM

Build RAG Applications: Get Started

Issued Feb 2026 · ID: KNU8LQ8HR7U6

⚡

IBM

Develop Generative AI Applications

Issued Feb 2026 · ID: TWR0ZSRP2VME

🔬

Coursera · DeepLearning.AI

Neural Networks and Deep Learning

Issued Feb 2023 · ID: TUL8ETWBRSQ2

📊

Jovian

Data Analysis with Python: Zero to Pandas

Issued Mar 2023 · ID: MFQTQMZVGI

Get in touch

Let's connect

dev.karanpreet@gmail.com

GitHub ↗ LinkedIn ↗ Scholar ↗