SHAJAHAN D
Bengaluru
Summary
Architected enterprise AI platforms integrating GenAI and Kubernetes. Led cross-functional teams to deliver scalable AI solutions, achieving a 40% improvement in incident response times and automating workflows while ensuring high availability and observability
Overview
3
3
years of professional experience
2
2
Certifications
Work History
Technical Solution Architect – Senior
NTT DATA
01.2023 - Current
- Architected enterprise AI platforms integrating GenAI services, Kubernetes infrastructure, and distributed data pipelines on Azure.
- Built multi-agent AI systems using LangGraph, FastAPI, and PostgreSQL with pgvector-based RAG pipelines.
- Designed GitLab CI/CD pipelines enabling automated build, testing, and deployment across dev/stage/prod environments.
- Deployed containerized AI workloads on Azure Kubernetes Service (AKS) supporting high availability and zero-downtime deployments.
- Implemented observability stack (Prometheus, Grafana, Jaeger) improving incident response time by 40%.
- Led cross-functional engineering teams delivering AI solutions for enterprise clients.
- ML Model production deployement using Kserver on kubernetes cluster.
Education
B.E. - Electronics and Communication Engineering
VTU
Karnataka, India06-2016
Skills
Azure
AWS
Azure Databricks
Azure OpenAI
Azure Data Factory
Azure Data Lake Gen2
Azure Key Vault
Kubernetes
Docker
Terraform
Ansible
Istio Service Mesh
GitLab CI/CD
Helm
ArgoCD
MLFLOW
Python
PySpark
PyTorch
Cognitive Computing
Loki
Model Deployment
Container Orchestration
Data pipelines
Data Lakehouse
Prometheus
Grafana
Loki
PostgreSQL
MongoDB
Pgvector
MSSQL
Microservices Architecture
Bash
Bash
Data Lakehouse
Certification
AWS Certified Solutions Architect – Associate
Timeline
Technical Solution Architect – Senior
NTT DATA
01.2023 - Current
B.E. - Electronics and Communication Engineering
VTU