
Practical capabilities behind the systems
Skills are shown as capabilities and evidence—not arbitrary percentages.

AI Automation
Designing controlled workflows where deterministic logic remains in charge and AI handles bounded interpretation, drafting or classification.

Agentic AI & MCP
Building tool-using agents with scoped permissions, structured results, validation, evaluation and safe escalation.

RAG & Knowledge Systems
Creating permission-aware ingestion, retrieval and grounded-answer pipelines with citations and separate retrieval evaluation.

LLM & Prompt Engineering
Designing prompts, schemas, examples, failure behavior and evaluation sets around a defined workflow rather than a demo.

Python Engineering
Using Python for API services, automation, data processing, model integration and reliable operational tooling.

FastAPI & Flask
Building validated Python APIs with explicit schemas, authentication boundaries, background work and operational error handling.

API & Integration Engineering
Connecting business systems through documented contracts, webhooks, retries, idempotency and observable handoffs.

Workflow Platforms
Using low-code orchestration where it improves visibility and maintainability, while moving complex logic into tested services.

Full-Stack AI Products
Delivering responsive interfaces, APIs, background processing and admin or review experiences around AI capabilities.

SQL & Data Platforms
Designing relational data models, traceable transformations and tenant-aware persistence for operational systems.

Document AI & OCR
Turning varied files into classified, schema-mapped and validated records with explicit exception handling.

Machine Learning & Data
Applying ML and analytical tooling where representative data, evaluation criteria and operational ownership are available.

Cloud, Containers & Delivery
Packaging and delivering services with environment-aware configuration, observability and recoverable deployment paths.

Evaluation & Observability
Defining test sets, traces, quality checks, latency and cost signals before expanding an AI workflow.

Media & Generative AI Tooling
Working with speech, image and media pipelines when they support a defined product or content workflow.

Systems Created →
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