I’m Suhel Khan, a Cloud, DevOps & AI/ML Engineer from India 🇮🇳. I specialize in Cloud Infrastructure (AWS, GCP), DevOps & Automation (CI/CD, Docker, Kubernetes, Terraform), and AI/ML Systems (Model building, APIs, MLOps foundations).
💡 “Automation + Intelligence = Scalable Systems.”
- Machine Learning: Scikit-learn, Pandas, NumPy
- NLP: TF-IDF, Bag of Words, basic Transformers
- APIs: FastAPI, REST-based ML inference
- MLOps: Dockerized models, CI/CD pipelines for ML
- Python: DSA, scripting, automation
- SQL: Queries, joins, aggregations, optimization
Proven ability to troubleshoot production issues, debug CI/CD pipelines, and collaborate effectively across cross-functional teams.
| Project | Description |
|---|---|
| BankApp – DevOps Pipeline | End-to-end CI/CD using Jenkins, Docker, Helm, Terraform & AWS EKS with HPA (35% faster deployments) |
| Multi-Environment Automation | Automated dev/stage/prod using Terraform & Ansible (60% infra setup reduction) |
| MERN E-commerce – DevOps Pipeline | Kubernetes-based deployment with CloudWatch, Prometheus & Grafana monitoring |
| Terraform Infra Provisioning | Automated AWS VPC, EC2, subnets, routing & security groups |
| Monitoring Stack | Production-ready observability using Prometheus + Grafana with alerting |
| Project | Description |
|---|---|
| AI/ML Microservice – FastAPI & Docker | Scalable ML inference service with preprocessing, IAM security & Docker deployment |
| Text Classification Model – Scikit-learn | NLP model using BoW & TF-IDF with 92% accuracy, CI/CD enabled |
| AI Analytics Pipeline – Python | End-to-end ML pipeline: data cleaning → feature engineering → training → evaluation |
