You will get a GenAI readiness audit and 90 day implementation roadmap
Project details
I build production AI systems inside enterprise banking, where nothing ships without an audit trail. That work taught me which AI ideas survive contact with real users and which quietly die in pilot. This audit applies that filter to your business.
Multi-agent architectures, RAG pipelines, and document intelligence, live and in daily use by risk and compliance teams. Eight years of software engineering behind that.
You get a written assessment of your current workflows, a prioritised list of AI use cases ranked on effort and real return, a recommended technical architecture, an honest build versus buy call, and a phased 90 day roadmap.
No slide decks. No discovery theatre. A document you can hand to a developer or use to decide not to build at all.
If the honest answer is that AI is the wrong tool for your problem, I will tell you that too. That answer is worth more than a roadmap for something that was never going to work.
Multi-agent architectures, RAG pipelines, and document intelligence, live and in daily use by risk and compliance teams. Eight years of software engineering behind that.
You get a written assessment of your current workflows, a prioritised list of AI use cases ranked on effort and real return, a recommended technical architecture, an honest build versus buy call, and a phased 90 day roadmap.
No slide decks. No discovery theatre. A document you can hand to a developer or use to decide not to build at all.
If the honest answer is that AI is the wrong tool for your problem, I will tell you that too. That answer is worth more than a roadmap for something that was never going to work.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AI, Natural Language Generation, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, Microsoft 365 CopilotAI Models
BERT, ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$600
|
Standard
$1,200
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 12 days |
Number of Revisions | 1 | 2 | 3 |
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.
Live strategy session (60 min)
(+ 1 Day)
+$250
25 reviews
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KG
Kai G.
Jul 18, 2024
Enhancements to the npm PptxGenJS package
PP
Pavel P.
Jun 25, 2024
MVP - B2C/B2B website (not ecommerce) & Mobile App (cross-platform)
EK
Emre K.
May 15, 2024
NestJs + Typescript Test Task
Ali has been responsive and great to communicate with. The task was completed according the scope and on time.
MR
Mike R.
Apr 18, 2024
Initial research for full stack development project
Ali is very knowledgeable and was able to ask insightful questions about the project which even helped me to understand it better. Communication was good all the way though and he is clearly an experienced and skilful developer who can understand holistic software development best practice. He is keen to expand his own knowledge with challenging projects and I get the feeling that he could handle any software task.
I am looking forward to working with Ali on future projects - he is my go to guy for Full Stack development and I highly recommend him.
I am looking forward to working with Ali on future projects - he is my go to guy for Full Stack development and I highly recommend him.
MR
Mike R.
Mar 26, 2024
30 minute consultation
very good
About Ali
Agentic AI Engineer | Multi-Agent Systems, RAG | Enterprise GenAI
Kuala Lumpur, Malaysia - 5:19 pm local time
Agentic AI Engineer with 8+ years in software engineering, currently building production GenAI systems inside enterprise banking. Multi-agent architectures, RAG pipelines, and document intelligence running daily in an environment where audit trails and regulatory approval come before anything ships.
𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 𝐈'𝐯𝐞 𝐒𝐡𝐢𝐩𝐩𝐞𝐝
🏦 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐑𝐞𝐯𝐢𝐞𝐰 𝐒𝐲𝐬𝐭𝐞𝐦
Agents handling semantic validation, tabular sanity checks, architecture diagram parsing, and inter-link consistency. Manual pre-screening effort down ~80%. Deck processing from 170 seconds to under 30 through parallel execution and targeted caching. [Azure OpenAI, Multi-Agent Orchestration, Mermaid parsing]
📋 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐑𝐀𝐆 𝐂𝐡𝐚𝐭𝐛𝐨𝐭 𝐟𝐨𝐫 𝐑𝐢𝐬𝐤 & 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞
Turns hours of policy reading into seconds for Risk, Compliance, and Banking Operations teams. Versioned document ingestion, multi-stage retrieval, session storage built for audit, plus a feedback loop feeding usage reporting. [Azure AI Search, Copilot Studio, Cosmos DB, Azure Functions]
📚 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭
Chatbot grounded on internal SharePoint document stores, serving knowledge to internal teams with response grounding and continuous improvement reporting. [Copilot Studio, SharePoint, Power BI]
Client names are under NDA. These systems are live, in daily use, and were delivered alongside global enterprise technology partners. Few AI engineers have shipped into that level of scrutiny.
𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 𝐖𝐢𝐭𝐡
◆ 𝐀𝐈 & 𝐀𝐠𝐞𝐧𝐭𝐬: LangChain, Multi-Agent Orchestration, Azure OpenAI, OpenAI API, Claude, Azure AI Foundry, Copilot Studio
◆ 𝐑𝐀𝐆 & 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞: Azure AI Search, vector search, document ingestion pipelines, Document Intelligence, OCR, semantic retrieval
◆ 𝐁𝐚𝐜𝐤𝐞𝐧𝐝: Python, Node.js, NestJS, Express, FastAPI, GraphQL, REST APIs, microservices
◆ 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝: React, Next.js, TypeScript, React Native
◆ 𝐃𝐚𝐭𝐚: PostgreSQL, MongoDB, Elasticsearch, Cosmos DB, Redis
◆ 𝐂𝐥𝐨𝐮𝐝 & 𝐎𝐩𝐬: Azure, AWS, GCP, Docker, Kubernetes, CI/CD, Azure Functions
✅ 𝗚𝗼𝗼𝗱 𝗳𝗶𝘁 𝗶𝗳:
You have a real business process where AI can produce measurable savings
Budget starts at $3K with a defined target outcome
There's a decision maker involved, not just an idea
❌ 𝗡𝗼𝘁 𝗮 𝗳𝗶𝘁 𝗶𝗳:
Price is your number one decision factor
You expect a production AI system in under two weeks
You want a demo rather than something that holds up under real use
𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗸𝗲𝗲𝗽 𝗺𝗲 𝗮𝗿𝗼𝘂𝗻𝗱
→ 𝐈 𝐬𝐜𝐨𝐩𝐞 𝐛𝐞𝐟𝐨𝐫𝐞 𝐈 𝐛𝐮𝐢𝐥𝐝. One client said my discovery questions helped him understand his own project better.
→ 𝐄𝐧𝐝 𝐭𝐨 𝐞𝐧𝐝 𝐨𝐰𝐧𝐞𝐫𝐬𝐡𝐢𝐩. Architecture through deployment. I've led teams and made build versus buy calls.
→ 𝟗𝟔% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 with a 5 star average across completed Upwork projects.
→ 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝. AWS certified. Microsoft Fabric (DP-700). Upwork Skill Certified in Node.js Full Stack Development. Contributor to PptxGenJS, an open source npm package used by thousands of developers.
If you're building something with AI where it actually has to work, send me what you're building. I'll reply within a day with an honest read on scope, timeline, and fit. If I'm not the right person, I'll say so.
Ali
Steps for completing your project
After purchasing the project, send requirements so Ali can start the project.
Delivery time starts when Ali receives requirements from you.
Ali works on your project following the steps below.
Revisions may occur after the delivery date.
1
Discovery call. We walk through your workflows, systems, and where the time is going.
2
Analysis. I map your data sources, check technical feasibility, and size the opportunity.