Technical Expertise

- 10 + years of progressive engineering experience.
- 1–2 years of direct experience leading emerging technology or enterprise AI initiatives.
- Strong familiarity with the full Software Development Life Cycle (SDLC) best practices and DevSecOps protocols.
- Generative AI &
- LLMs: Core proficiency with commercial and open-source models (GPT, Claude, Gemini, LLaMA), advanced prompt engineering, and LLM fine-tuning techniques.
- AI Frameworks &
- Architectures: Deep hands-on experience with LangChain, LlamaIndex, Amazon Bedrock, Agentic AI, MCP, and Graph/RAG architectures.
- Databases &
- Orchestration: Proven experience with Vector and Graph databases (Weaviate, Milvus, PGVector, Neo4J, Neptune), query optimization, and ETL orchestration using Apache Airflow/DAGs.
- Cloud &
- DevOps (AWS):



Comprehensive knowledge of AWS infrastructure, including computation (EKS, Fargate, Lambda, EC2), networking/load balancing (ELB, GLB, NLB), data analytics (Athena, Glue, Lake Formation), and Infrastructure as Code (Terraform, Puppet, Docker).
- Full-Stack Development: Robust proficiency in Python (NumPy, Pandas, Matplotlib, Boto3) alongside modern web application development using Next.js, React, and TypeScript/JavaScript.
- Testing &
- Analytics: Familiarity with automated AI and web testing frameworks (Ragas, Playwright, Zephyr, Selenium) and Business Intelligence tools (QuickSight, Tableau).

📌 Sr AI Engineer (Toronto)
🏢 apptoza
📍 Toronto