You will get an expert AI architecture assessment and implementation roadmap
Project details
You will get a focused expert assessment that turns your AI idea, prototype, or business workflow into a practical implementation plan. Before the call, I review your goals, systems, data sources, constraints, and current architecture. During a 60-minute Upwork meeting, we identify the right AI approach, challenge risky assumptions, and define the smallest reliable path to production. Within two days, I deliver a written meeting summary, recommended architecture, phased roadmap, key security and evaluation considerations, and a realistic effort and cost estimate. This service is ideal for AI agents, RAG, MCP integrations, document intelligence, Copilot Studio, natural-language SQL, and enterprise automation. I bring 6 years of AI and data experience across 20+ delivered projects. This package covers strategy and architecture; implementation can be scoped separately after the assessment.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AIOps, Conversational AI, Natural Language GenerationAI Development Language
PythonAI Tools
Azure OpenAIAI Models
ChatGPT, GPT-4What's included $149
These options are included with the project scope.
$149
- Delivery Time 2 days
- Number of Revisions 1
- Model Documentation
- Prompt Engineering
Frequently asked questions
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AI Non-Verbal Image Reconstruction – .NET Wrapper
Sunny is exceptionally good at what he does. Even after a project is completed, he remains highly responsive to feedback and is always willing to help resolve any issues or integration hiccups that may arise. His support doesn’t end with project delivery, which is truly commendable.
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KS V.
Aug 13, 2026
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What a professional! Sunny did a really good job throughout the project. He understood the requirement well and delivered impressive reconstruction quality. I was particularly happy with the live demonstration, where the results were very close to the original images. He was also responsive and clear in his communication throughout the project. Overall, a very smooth and positive experience working with him.
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Professional
Instantaneous
Always available
Quick work feedback and Logical. This is why I would recommend him. I work a organization as well I understand what a professional should work like. Kudos!
Instantaneous
Always available
Quick work feedback and Logical. This is why I would recommend him. I work a organization as well I understand what a professional should work like. Kudos!
About Sunny
AI Agent Engineer | MCP, RAG, LangGraph, Copilot Studio & Azure
100%
Job Success
Chandigarh, India - 3:38 am local time
I have 6 years of experience delivering production-grade AI and data systems in Fortune 500 retail, consulting, financial-data, and cybersecurity environments.
SELECTED RESULTS
• Built a real-time multi-agent cybersecurity platform that improved incident-response speed by 40%.
• Delivered an image-to-data pipeline with 95%+ accuracy across complex document types.
• Built natural-language-to-SQL assistants that eliminated manual query writing and enabled non-technical teams to access live business data.
• Developed enterprise document and workflow automation using private data, APIs, cloud services, and human approval controls.
WHAT I BUILD
• Enterprise AI agents and multi-agent workflows using LangGraph, LangChain, AutoGen, and LlamaIndex
• Production RAG systems over documents, databases, and business knowledge
• Document intelligence, extraction, classification, and structured-output pipelines
• Natural-language SQL and analytics assistants
• MCP, API, ERP, and business-workflow integrations
• Cloud deployment and production hardening on Azure and AWS
DELIVERY
I can own the complete lifecycle: requirements discovery, architecture, prototype, retrieval and data layer, API backend, evaluation, deployment, monitoring, and support.
CORE STACK
Python, FastAPI, LangGraph, LangChain, LlamaIndex, AutoGen, Azure OpenAI, AWS Bedrock, OpenAI, Claude, Gemini, Pinecone, Weaviate, PostgreSQL, Docker, Kubernetes, Databricks, and Kafka.
WHY CLIENTS HIRE ME
• Production systems, not isolated prompt demos
• Full-stack AI ownership from architecture through deployment
• Clear communication, documented decisions, and realistic estimates
• Enterprise integration experience with private data and controlled workflows
Building an AI agent, RAG system, document-intelligence workflow, or enterprise LLM application? Send me the problem, current systems, and desired outcome. I will propose the smallest reliable path to production.
Steps for completing your project
After purchasing the project, send requirements so Sunny can start the project.
Delivery time starts when Sunny receives requirements from you.
Sunny works on your project following the steps below.
Revisions may occur after the delivery date.
Review goals and context
I review your requirements, current systems, data sources, constraints, and any attached architecture or process documents.
Conduct the 60-minute strategy call
We clarify the business outcome, assess technical options, identify risks, and agree on the recommended solution direction.