Alper ZakherAlper ZakherAI systems
ع
Alper Zakher
Page 5 of 15
Skills & Capabilities

Practical capabilities behind the systems

Skills are shown as capabilities and evidence—not arbitrary percentages.

Core capability
01

AI Automation

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

n8nMake.comWebhooksREST APIsCRM workflowsHuman approval
Core capability
02

Agentic AI & MCP

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

AI AgentsMCPTool callingGuardrailsMemory boundariesEvals
Core capability
03

RAG & Knowledge Systems

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

RAGEmbeddingsVector databasesRerankingLlamaIndexLangChain
Core capability
04

LLM & Prompt Engineering

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

OpenAI APIClaudeGPT-4oStructured outputsPrompt testingFine-tuning judgment
Core capability
05

Python Engineering

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

PythonAsync workflowsPandasNumPyPackage designTesting
Applied capability
06

FastAPI & Flask

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

FastAPIFlaskPydanticOpenAPIBackground jobsAPI testing
Core capability
07

API & Integration Engineering

Connecting business systems through documented contracts, webhooks, retries, idempotency and observable handoffs.

REST APIsWebhooksOAuthProvider adaptersRetriesIdempotency
Applied capability
08

Workflow Platforms

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

n8nMake.comTriggersSchedulesApproval stepsError routes
Applied capability
09

Full-Stack AI Products

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

JavaScriptNode.jsNestJSLaravel.NETResponsive UIAdmin tools
Applied capability
10

SQL & Data Platforms

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

SQLPostgreSQLSQLiteETLData validationVector storage
Applied capability
11

Document AI & OCR

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

OCRComputer VisionDocument parsingSchema mappingReview queues
Working capability
12

Machine Learning & Data

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

PyTorchTensorFlowScikit-learnPandasNumPyPlotly Dash
Working capability
13

Cloud, Containers & Delivery

Packaging and delivering services with environment-aware configuration, observability and recoverable deployment paths.

DockerCI/CDAWSGCPAzureGitGitHubMLOps
Core capability
14

Evaluation & Observability

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

LLM evalsLogsTracesMetricsCost trackingRegression tests
Working capability
15

Media & Generative AI Tooling

Working with speech, image and media pipelines when they support a defined product or content workflow.

Whisper ASRStable DiffusionFFmpegTranscriptionMedia processing
Next page

Systems Created

Keep scrolling to enter the next page and see every card inside it.

Alper Nabil Gabra Zakher · © 2026
1 / 17