DBAbout
AI Engineer with 7+ years of experience in AI, Kubernetes, and full-stack development. Built scalable APIs, secure multi-agent AI workflows, and cloud infrastructure that enabled AI products to ship 80% faster. Deep expertise in LLMs, DevOps automation, and cloud-native architectures.
Work Experience
Certifications
Skills
Python
TypeScript
Node.js
Go
LangChain
LangGraph
GitHub Actions
OpenAI
Anthropic
AWS
Azure
FastAPI
Next.js
React
PostgreSQL
ClickHouse
Redis
Docker
Kubernetes
Terraform
Prometheus
GrafanaCheck out my latest work
I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.
Gen AI Business Intelligence
Leveraging Generative AI and RAG's reasoning capabilities to transform natural language business intelligence questions into AWS Athena SQL queries, execute them on an S3 data lake, and generate interactive charts, and summaries to identify key trends and insights from large datasets.
Agentic AI AWS Automation
Multi-agent LLM system using LangChain to lower the skill barrier of AWS. Converts user requirements into executable Python scripts with Boto3, allowing users to preview and run AI-generated infrastructure-as-code in a secure, containerized sandbox environment.
MedPrep
Collaborated with a medical doctor to build a full-stack medical question bank platform for the Canadian College of Family Physicians (CCFP) exam preparation. Features customizable practice sessions, performance analytics with learning streaks, topic-based progress tracking, and comprehensive dashboards.