Hiring a remote engineer is about trust and autonomy. Here is how I work:
- ⚡ Autonomous Ownership: I specialize in taking high-level requirements and delivering end-to-end production systems without constant supervision.
- 📝 Documentation First: I believe that in a remote environment, "if it's not documented, it doesn't exist." Every project includes a comprehensive architecture guide.
- 🔄 Async Communication: Expert in using GitHub, Slack, and Documentation to provide clear, actionable updates across time zones.
- 🛡️ Production Reliability: I build systems with a "fail-safe" mindset, utilizing GitOps (ArgoCD) and Observability to ensure 24/7 uptime.
- Infrastructure:
AWS,EKS,ECR,Lambda,S3,VPC,Route53. - Containerization:
Docker (Multi-stage),Kubernetes,Helm. - GitOps & CD:
ArgoCD,GitHub Actions,Jenkins,CircleCI. - IaC & Config:
Terraform,Ansible. - Security:
Trivy,SonarQube,SAST,Container Hardening.
- Lifecycle:
MLflow,DVC,Kubeflow,ZenML. - GenAI:
LangChain,RAG Pipelines,Vector DBs (Pinecone, Chroma). - Serving:
KServe,Seldon Core,BentoML,TF-Serving. - ML Tech:
PyTorch,TensorFlow,HuggingFace,Scikit-Learn.
A specialized RAG-based chatbot using LangChain and Pinecone.
- Tech Stack:
AWS,Pinecone,LangChain,Flask.
Production-grade classification system with automated model retraining.
- Tech Stack:
Python,DVC,MLflow,Docker.
End-to-end NLP pipeline with CI/CD/CT.
- Tech Stack:
PyTorch,GitHub Actions,FastAPI.
Full-scale infrastructure automation for high-availability systems.
- Tech Stack:
Kubernetes,Jenkins,Docker,Nginx.
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I am currently open to Remote Opportunities and Collaborations in the MLOps/DevOps space.
- Portfolio: bittullmops.vercel.app
- Email: bittush9534@gmail.com
Built with ❤️ by Bittu Kumar