Highly skilled AI and Cloud Engineer in designing scalable AI solutions, optimizing model performance, and integrating AI applications into enterprise workflows. Expertise in developing and deploying machine learning models, specializing in deep learning, natural language processing, automation, orchestration, security, and evaluating new technologies to drive efficiency and productivity.
- AI/ML: PyTorch, TensorFlow, Scikit-learn, Transformers, Deep Learning, LLMs, NLP, RAG, Keras, LoRA, QLoRA, Hugging Face, Vector Databases, Prompt Engineering, Model Deployment, LangChain
- Programming Languages: Python, Golang, C++, Shell, PowerShell, Javascript
- Cloud: AWS EC2, Azure VM, EKS, ECS, ELB, S3, EBS, RDS, DynamoDB, Bedrock, SNS, SQS, VPC, IAM, Route 53, Lambda, CloudFront, CloudWatch, AKS, Blob Storage, Azure SQL Database, Virtual Network, GCP, GKE, Cloudspanner
- DevOps: Terraform, Kubernetes, Docker, Helm, Keda, Karpenter, GitOps, ArgoCD, CI/CD, GitHub Actions, Azure DevOps, Jenkins, Snyk, Ansible, Maven, Nginx, Nexus, Grafana, Prometheus, Firewall, Load Balancers, Istio, Rancher, Datadog, Shell(Bash), Powershell, Confluence, Jira, BitBucket
- Networking: TCP/IP, DNS, HTTP/HTTPS, SSL/TLS, SSH, VPN, CIDR, Subnetting, Routing, Firewalls, Load Balancers, VPC/VNet, Security Groups, Network ACLs, Kubernetes Networking
- Data Management: Apache Airflow, Hadoop, Hive, MLflow, PySpark, ETL, SQL, FAISS, ChromaDB, Supabase
Follow my projects here on GitHub. I'm always open to discussing new ideas, technologies, or collaboration opportunities!