Projects
Engineering Intelligent Systems
Selected work exploring how AI, cloud and modern software architecture come together to solve real engineering problems.
01
AI Knowledge Assistant for Enterprises
An enterprise RAG application that transforms uploaded documents into searchable knowledge and generates grounded answers using semantic retrieval and LLMs.
IngestionRetrieval & generation
Documents
Extract & Chunk
Embeddings
Vector Store
Semantic Search
Relevant Context
LLM
Grounded Answer
02
Autonomous Production Incident Resolution Agent
An Agentic AI system designed to investigate production incidents, gather evidence, evaluate hypotheses and propose governed remediation while maintaining a human-approval boundary.
Observe
Evidence
Hypotheses
Readiness
Remediation
Risk & Policy
Human Approvalapproval boundary
Execute
Validate
How I Build
- 01
Architecture First
Start with boundaries, responsibilities and system interactions.
- 02
Production Ready
Design for security, reliability, observability and operations.
- 03
Governed by Design
Build controls and human oversight into systems where risk requires them.
- 04
Continuously Validated
Test assumptions, behaviour and outcomes throughout the lifecycle.