You will get a reliable AI automation workflow built or fixed
Top Rated
Project details
I will build or fix a practical AI/API automation workflow so it is not just connected, but maintainable.
This is for teams with repetitive operations, broken zaps, unreliable n8n flows, fragile webhook chains, manual CRM updates, spreadsheet workflows, or OpenAI/API steps that need safer validation and logging.
My focus is senior engineering hygiene: payload contracts, retry behavior, failure queues, logs, duplicate protection, handoff docs and human approval gates for actions that should not run silently.
Good fit:
• n8n, Make, Zapier, OpenAI API, Anthropic, Gemini, REST APIs
• CRM, Airtable, Google Sheets, Notion, Slack, email, internal tools
• lead routing, summarization, enrichment, reporting, document workflows
• fixing unreliable automations or rebuilding them safely
Not a fit:
• spam, bulk messaging, unsafe scraping, cookie/session export
• bypassing platform rules, rate-limit evasion, account automation abuse
• irreversible actions without human review
Relevant proof: automation, browser QA and evidence workflows in my Upwork/public portfolio. No private repo links or confidential client details included.
This is for teams with repetitive operations, broken zaps, unreliable n8n flows, fragile webhook chains, manual CRM updates, spreadsheet workflows, or OpenAI/API steps that need safer validation and logging.
My focus is senior engineering hygiene: payload contracts, retry behavior, failure queues, logs, duplicate protection, handoff docs and human approval gates for actions that should not run silently.
Good fit:
• n8n, Make, Zapier, OpenAI API, Anthropic, Gemini, REST APIs
• CRM, Airtable, Google Sheets, Notion, Slack, email, internal tools
• lead routing, summarization, enrichment, reporting, document workflows
• fixing unreliable automations or rebuilding them safely
Not a fit:
• spam, bulk messaging, unsafe scraping, cookie/session export
• bypassing platform rules, rate-limit evasion, account automation abuse
• irreversible actions without human review
Relevant proof: automation, browser QA and evidence workflows in my Upwork/public portfolio. No private repo links or confidential client details included.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AIOps, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Hugging Face, PyTorch, StreamlitAI Models
ChatGPT, GPT-4, OpenAI CodexWhat's included
| Service Tiers |
Starter
$150
|
Standard
$450
|
Advanced
$950
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 8 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | - | ||
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | |||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | - | ||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | ||
Setup File | - | ||
Source Code | - |
Optional add-ons
You can add these on the next page.
Extra connected API
(+ 2 Days)
+$150
Extra simple workflow
(+ 3 Days)
+$250
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About Zakhar
Senior Computer Vision & OCR Engineer | Edge AI, Production AI
100%
Job Success
Yerevan, Armenia - 1:16 am local time
My strongest fit is a project with real data, a broken or uncertain pipeline, and measurable acceptance targets: accuracy, false positives, latency, edge-device constraints, cost, security, or launch readiness.
Core work:
- Computer vision / OCR: detection, segmentation, tracking, image analysis, OCR extraction, validation, reviewer workflows
- Edge AI: ONNX/TensorRT conversion, model optimization, quantization-aware deployment, mobile/on-device inference
- AI backend: OpenAI API, RAG, VLMs, source traces, confidence checks, FastAPI, PostgreSQL
- Production delivery: tests, logging, monitoring, cloud deployment, handoff docs
I am a good fit when AI output must be accurate, fast enough for production, reviewable, logged, and reliable enough for real business use.
Steps for completing your project
After purchasing the project, send requirements so Zakhar can start the project.
Delivery time starts when Zakhar receives requirements from you.
Zakhar works on your project following the steps below.
Revisions may occur after the delivery date.
Audit, build, test and hand off
Review requirements and sample data, implement the workflow, test success and failure cases, then deliver docs, source/setup notes and a walkthrough.