Work
Real engagements — what the problem was, what was built, and what it runs on.
Featured work

Our own self-hosted platform for running Kubernetes: real-time workload visibility, AI-driven diagnosis, and remediation that always requires human approval.
More work

Migrated a legacy e-commerce platform to Azure using serverless architecture and automated CI/CD pipelines.
Comprehensive penetration testing, threat modeling, and security hardening for a client's cloud environment.

End-to-end CI/CD pipeline implementation for a BPO software company, cutting deployment time significantly.

Designed and deployed production Kubernetes clusters across GKE, EKS, and AKS for enterprise clients.
Interactive demo
RAG Platform
API & Database
FastAPI · PostgreSQL metadata
Document Storage
MinIO object store
Vector Search
Qdrant semantic similarity
AI Engine
Ollama embeddings + Groq LLM
Avg. Response
~1.2s
Storage Limit
50 MB
LLM Model
Llama 3.3
A fully self-hosted RAG platform — document ingestion, vector search, and grounded LLM chat — built to show how AI document intelligence can be deployed for any business.
In development
Architecture planned. Engagements forming.
Network-isolated enterprise chat application using Azure AI Foundry, OpenAI models, and RAG grounding — all traffic routed through private endpoints.
In developmentEnd-to-end ML build and inference pipeline on AWS SageMaker with automated training, versioning, and multi-environment production deployment.