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Technical Skills

Tools and technologies I’ve used across production systems and personal projects.

  • Languages and frameworks: Python (FastMCP, FastAPI, Django REST Framework, scikit-learn, PyTorch), Go (Gin), SQL, JavaScript/Node, Salesforce Lightning Web Components and Aura
  • Data platforms: Snowflake, PostgreSQL, Salesforce (Bulk API), Azure AI Search, SharePoint, IBM DataStage (legacy, replaced); bulk sync and reconciliation design; ETL/ELT pipelines; data catalog, metadata, and taxonomy design
  • AI and ML systems: Azure OpenAI and AI Foundry, OpenAI embeddings, BM25 and vector retrieval, LLM re-ranking and query generation, golden-set evaluation, AutoML and ensemble forecasting, Prophet, k-means and entity resolution, Model Context Protocol (MCP) servers and clients
  • Cloud and infrastructure: Azure (AKS, Key Vault, Entra ID, API Management, Bicep), AWS (EKS, EC2, S3, ECR), Kubernetes, Docker, Ansible/AWX, GitHub Actions, Jenkins, Dynatrace, Akamai and web application firewall rules
  • Security and governance: OpenFGA (relationship-based access control), SCIM, multi-tenant authorization design, service-account isolation, sensitive-data classification, audit logging, CI-enforced quality and supply-chain controls
  • Practices: systems design and technical roadmaps, requirements and acceptance criteria, incident command, release management across multi-team programs, technical reviews and mentoring, forward-deployed engagements