Gurpreet
Singh

AI Engineer  ·  MLOps  ·  LLM Systems

I build and ship production-grade AI systems — from RAG pipelines and MCP servers to full Kubernetes MLOps pipelines. I don't just train models; I deploy them, monitor them, and keep them running.

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3+
Production Projects
K8s
Kubernetes Deployed
LFX
Runner-Up OSS
2nd
Year — Already Shipping
Technical Stack

What I work
with

🤖
AI Engineering
LangChain LangGraph RAG Pipelines MCP Servers OpenAI API Groq API Prompt Engineering
⚙️
MLOps & DevOps
Kubernetes Docker GitHub Actions MLflow CI/CD Prometheus Grafana
🧠
ML & Models
HuggingFace PyTorch Scikit-learn Transformers LoRA Fine-tuning Sentence Transformers
🗄️
Backend & Data
FastAPI PostgreSQL Redis ChromaDB WebSockets Pandas Python
☁️
Cloud & Deployment
Railway Render AWS (S3, EC2) GCP Basics Vercel Nginx
🌐
Open Source
Kmesh (eBPF) Linkerd CNCF Ecosystem Bug Fixing Documentation LFX Mentorship
Work

Projects I've shipped

01 / FEATURED
Blog Writing Agent
MCP + RAG + LLMOps + LangGraph

Autonomous multi-step blog agent with MCP server integration, RAG pipeline for grounded content, web search, image sourcing, and SEO optimization. Full LLMOps: MLflow prompt versioning, FastAPI streaming, CI/CD on every push.

LangGraph MCP Server ChromaDB FastAPI MLflow Docker GitHub Actions Railway
View Code
02 / MLOPS
Vehicle Insurance MLOps Pipeline
End-to-End ML System with Kubernetes

Complete ML lifecycle: data ingestion → training → evaluation → K8s deployment. Rolling deployments for zero downtime. GitHub Actions CI/CD gates on 85%+ accuracy before any deployment. MLflow tracks every experiment.

Kubernetes Docker MLflow GitHub Actions FastAPI CI/CD Rolling Deploy
View Code
03 / LIVE
Sentiment Analysis API
Production ML API with Full MLOps

Production sentiment API with FastAPI async endpoints, Docker + K8s deployment. Class balancing improved minority class recall by 22%. Sub-200ms latency with full CI/CD pipeline — broken code never reaches production.

FastAPI Docker Kubernetes CI/CD Render Scikit-learn
Live Demo
gurpreet@mlops ~ pipeline status
$ kubectl get pods -n ml-production
NAME                          READY   STATUS    RESTARTS   AGE
sentiment-api-7d4f8b-xkp2q    1/1    Running   0          12d
blog-agent-6c9d2a-mn8jl      1/1    Running   0          8d
insurance-mlops-5b7e1f-pq3r   1/1    Running   0          5d

$ mlflow experiments list
Experiment             Runs   Best Accuracy
insurance-pipeline     47     0.924
sentiment-v2           23     0.918

$ gh run list --limit 3
✓  CI/CD Pipeline       completed   2m ago
✓  Docker Build + Push   completed   2m ago
✓  K8s Rolling Deploy    completed   1m ago

# All systems operational. 3 projects live in production.
$ _
Open Source

Giving back to the
community

LFX Mentorship Program
CNCF — Cloud Native Computing Foundation  ·  2024
Runner-up recognition at LFX Mentorship — competed globally among open source contributors across CNCF projects
Contributed to Kmesh — eBPF-based service mesh, fixing bugs in core networking logic and performance-critical code paths
Contributed to Linkerd — production-grade service mesh used by thousands of companies, improved developer documentation for new contributors
Bug fixes, documentation improvements, and PR reviews across two major CNCF projects simultaneously
kmesh-net/kmesh linkerd/linkerd2
🏆
LFX Runner-Up
Global Recognition
Contact

Let's work
together

📧
Email gurpreetjoey@gmail.com
💼
LinkedIn linkedin.com/in/gurpreet-singh-ji
🐙
GitHub github.com/gurpreet-singh-ji
Available for opportunities
Open to Remote Roles Worldwide
Looking for remote AI Engineer and MLOps roles at seed and Series A startups globally. I'm a 2nd-year student who ships production systems — happy to do a paid trial week.
Remote Only Full Time Part Time Freelance Worldwide